ViObject Article Swipe
Wenqiang Chen
,
Shupei Lin
,
Zhencan Peng
,
Farshid Salemi Parizi
,
Seongkook Heo
,
Shwetak Patel
,
Wojciech Matusik
,
Wei Zhao
,
John A. Stankovic
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3643547
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3643547
Knowing the object grabbed by a hand can offer essential contextual information for interaction between the human and the physical world. This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. The system relies on the vibrations caused by grabbing objects and does not require additional hardware or human effort. ViObject's ability to recognize objects passively can have important implications for a wide range of applications, from smart home automation to healthcare and assistive technologies. In this paper, we present the design and implementation of ViObject, to address challenges such as motion interference, different object-touching positions, different grasp speeds/pressure, and model customization to new users and new objects. We evaluate the system's performance using a dataset of 20 objects from 20 participants and show that ViObject achieves an average accuracy of 86.4%. We also customize models for new users and new objects, achieving an average accuracy of 90.1%. Overall, ViObject demonstrates a novel technology concept of passive object recognition using commodity smartwatches and opens up new avenues for research and innovation in this area.
Related Topics
Concepts
Smartwatch
GRASP
Computer science
Object (grammar)
Human–computer interaction
Accelerometer
Personalization
Activity recognition
Artificial intelligence
Automation
Gyroscope
Computer vision
Wearable computer
Engineering
Embedded system
Mechanical engineering
Aerospace engineering
World Wide Web
Operating system
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3643547
- OA Status
- green
- Cited By
- 5
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392503782
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392503782Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3643547Digital Object Identifier
- Title
-
ViObjectWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-06Full publication date if available
- Authors
-
Wenqiang Chen, Shupei Lin, Zhencan Peng, Farshid Salemi Parizi, Seongkook Heo, Shwetak Patel, Wojciech Matusik, Wei Zhao, John A. StankovicList of authors in order
- Landing page
-
https://doi.org/10.1145/3643547Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/1721.1/154071Direct OA link when available
- Concepts
-
Smartwatch, GRASP, Computer science, Object (grammar), Human–computer interaction, Accelerometer, Personalization, Activity recognition, Artificial intelligence, Automation, Gyroscope, Computer vision, Wearable computer, Engineering, Embedded system, Mechanical engineering, Aerospace engineering, World Wide Web, Operating system, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4392503782 |
|---|---|
| doi | https://doi.org/10.1145/3643547 |
| ids.doi | https://doi.org/10.1145/3643547 |
| ids.openalex | https://openalex.org/W4392503782 |
| fwci | 3.88735019 |
| type | article |
| title | ViObject |
| biblio.issue | 1 |
| biblio.volume | 8 |
| biblio.last_page | 26 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T11707 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1709 |
| topics[0].subfield.display_name | Human-Computer Interaction |
| topics[0].display_name | Gaze Tracking and Assistive Technology |
| topics[1].id | https://openalex.org/T10914 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9994999766349792 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Tactile and Sensory Interactions |
| topics[2].id | https://openalex.org/T10444 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9991000294685364 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Context-Aware Activity Recognition Systems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C29794715 |
| concepts[0].level | 3 |
| concepts[0].score | 0.8532249927520752 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5362345 |
| concepts[0].display_name | Smartwatch |
| concepts[1].id | https://openalex.org/C171268870 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7505770921707153 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1486676 |
| concepts[1].display_name | GRASP |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6703617572784424 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2781238097 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6418107151985168 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q175026 |
| concepts[3].display_name | Object (grammar) |
| concepts[4].id | https://openalex.org/C107457646 |
| concepts[4].level | 1 |
| concepts[4].score | 0.612892210483551 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[4].display_name | Human–computer interaction |
| concepts[5].id | https://openalex.org/C89805583 |
| concepts[5].level | 2 |
| concepts[5].score | 0.576660692691803 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q192940 |
| concepts[5].display_name | Accelerometer |
| concepts[6].id | https://openalex.org/C183003079 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5566186904907227 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1000371 |
| concepts[6].display_name | Personalization |
| concepts[7].id | https://openalex.org/C121687571 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5275190472602844 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q4677630 |
| concepts[7].display_name | Activity recognition |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.46309518814086914 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C115901376 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4442673623561859 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q184199 |
| concepts[9].display_name | Automation |
| concepts[10].id | https://openalex.org/C158488048 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4201011657714844 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q483400 |
| concepts[10].display_name | Gyroscope |
| concepts[11].id | https://openalex.org/C31972630 |
| concepts[11].level | 1 |
| concepts[11].score | 0.40180516242980957 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[11].display_name | Computer vision |
| concepts[12].id | https://openalex.org/C150594956 |
| concepts[12].level | 2 |
| concepts[12].score | 0.3534088134765625 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1334829 |
| concepts[12].display_name | Wearable computer |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.20590850710868835 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C149635348 |
| concepts[14].level | 1 |
| concepts[14].score | 0.1853262186050415 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[14].display_name | Embedded system |
| concepts[15].id | https://openalex.org/C78519656 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q101333 |
| concepts[15].display_name | Mechanical engineering |
| concepts[16].id | https://openalex.org/C146978453 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[16].display_name | Aerospace engineering |
| concepts[17].id | https://openalex.org/C136764020 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[17].display_name | World Wide Web |
| concepts[18].id | https://openalex.org/C111919701 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[18].display_name | Operating system |
| concepts[19].id | https://openalex.org/C199360897 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[19].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/smartwatch |
| keywords[0].score | 0.8532249927520752 |
| keywords[0].display_name | Smartwatch |
| keywords[1].id | https://openalex.org/keywords/grasp |
| keywords[1].score | 0.7505770921707153 |
| keywords[1].display_name | GRASP |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6703617572784424 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/object |
| keywords[3].score | 0.6418107151985168 |
| keywords[3].display_name | Object (grammar) |
| keywords[4].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[4].score | 0.612892210483551 |
| keywords[4].display_name | Human–computer interaction |
| keywords[5].id | https://openalex.org/keywords/accelerometer |
| keywords[5].score | 0.576660692691803 |
| keywords[5].display_name | Accelerometer |
| keywords[6].id | https://openalex.org/keywords/personalization |
| keywords[6].score | 0.5566186904907227 |
| keywords[6].display_name | Personalization |
| keywords[7].id | https://openalex.org/keywords/activity-recognition |
| keywords[7].score | 0.5275190472602844 |
| keywords[7].display_name | Activity recognition |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.46309518814086914 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/automation |
| keywords[9].score | 0.4442673623561859 |
| keywords[9].display_name | Automation |
| keywords[10].id | https://openalex.org/keywords/gyroscope |
| keywords[10].score | 0.4201011657714844 |
| keywords[10].display_name | Gyroscope |
| keywords[11].id | https://openalex.org/keywords/computer-vision |
| keywords[11].score | 0.40180516242980957 |
| keywords[11].display_name | Computer vision |
| keywords[12].id | https://openalex.org/keywords/wearable-computer |
| keywords[12].score | 0.3534088134765625 |
| keywords[12].display_name | Wearable computer |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.20590850710868835 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/embedded-system |
| keywords[14].score | 0.1853262186050415 |
| keywords[14].display_name | Embedded system |
| language | en |
| locations[0].id | doi:10.1145/3643547 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S4210219751 |
| locations[0].source.issn | 2474-9567 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2474-9567 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies |
| locations[0].source.host_organization | https://openalex.org/P4310319798 |
| locations[0].source.host_organization_name | Association for Computing Machinery |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319798 |
| locations[0].source.host_organization_lineage_names | Association for Computing Machinery |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies |
| locations[0].landing_page_url | https://doi.org/10.1145/3643547 |
| locations[1].id | pmh:oai:dspace.mit.edu:1721.1/154071 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400425 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DSpace@MIT (Massachusetts Institute of Technology) |
| locations[1].source.host_organization | https://openalex.org/I63966007 |
| locations[1].source.host_organization_name | Massachusetts Institute of Technology |
| locations[1].source.host_organization_lineage | https://openalex.org/I63966007 |
| locations[1].license | cc-by-nc |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | ACM |
| locations[1].landing_page_url | https://hdl.handle.net/1721.1/154071 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5008979555 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8167-6843 |
| authorships[0].author.display_name | Wenqiang Chen |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[0].affiliations[0].raw_affiliation_string | Chinese Academy of Sciences, SIAT; Massachusetts Institute of Technology, USA |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I63966007 |
| authorships[0].affiliations[1].raw_affiliation_string | Massachusetts Institute of Technology, USA |
| authorships[0].institutions[0].id | https://openalex.org/I63966007 |
| authorships[0].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Wenqiang Chen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Chinese Academy of Sciences, SIAT; Massachusetts Institute of Technology, USA, Massachusetts Institute of Technology, USA |
| authorships[1].author.id | https://openalex.org/A5071332926 |
| authorships[1].author.orcid | https://orcid.org/0009-0004-6157-3686 |
| authorships[1].author.display_name | Shupei Lin |
| authorships[1].affiliations[0].raw_affiliation_string | VibInt AI, China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shupei Lin |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | VibInt AI, China |
| authorships[2].author.id | https://openalex.org/A5045267283 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-4182-0075 |
| authorships[2].author.display_name | Zhencan Peng |
| authorships[2].affiliations[0].raw_affiliation_string | VibInt AI, China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhencan Peng |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | VibInt AI, China |
| authorships[3].author.id | https://openalex.org/A5078651721 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4407-1228 |
| authorships[3].author.display_name | Farshid Salemi Parizi |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I201448701 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Washington, USA |
| authorships[3].institutions[0].id | https://openalex.org/I201448701 |
| authorships[3].institutions[0].ror | https://ror.org/00cvxb145 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I201448701 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Washington |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Farshid Salemi Parizi |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Washington, USA |
| authorships[4].author.id | https://openalex.org/A5082876798 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2004-4812 |
| authorships[4].author.display_name | Seongkook Heo |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I51556381 |
| authorships[4].affiliations[0].raw_affiliation_string | University of Virginia, USA |
| authorships[4].institutions[0].id | https://openalex.org/I51556381 |
| authorships[4].institutions[0].ror | https://ror.org/0153tk833 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I51556381 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | University of Virginia |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Seongkook Heo |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | University of Virginia, USA |
| authorships[5].author.id | https://openalex.org/A5039879761 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-6300-4389 |
| authorships[5].author.display_name | Shwetak Patel |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I201448701 |
| authorships[5].affiliations[0].raw_affiliation_string | University of Washington, USA |
| authorships[5].institutions[0].id | https://openalex.org/I201448701 |
| authorships[5].institutions[0].ror | https://ror.org/00cvxb145 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I201448701 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | University of Washington |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Shwetak Patel |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | University of Washington, USA |
| authorships[6].author.id | https://openalex.org/A5018010391 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-0212-5643 |
| authorships[6].author.display_name | Wojciech Matusik |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I63966007 |
| authorships[6].affiliations[0].raw_affiliation_string | Massachusetts Institute of Technology, USA |
| authorships[6].institutions[0].id | https://openalex.org/I63966007 |
| authorships[6].institutions[0].ror | https://ror.org/042nb2s44 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I63966007 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Massachusetts Institute of Technology |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Wojciech Matusik |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Massachusetts Institute of Technology, USA |
| authorships[7].author.id | https://openalex.org/A5002311337 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-6268-2559 |
| authorships[7].author.display_name | Wei Zhao |
| authorships[7].affiliations[0].raw_affiliation_string | University of SIAT, Shenzhen, China |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Wei Zhao |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | University of SIAT, Shenzhen, China |
| authorships[8].author.id | https://openalex.org/A5100603760 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-7307-9395 |
| authorships[8].author.display_name | John A. Stankovic |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I51556381 |
| authorships[8].affiliations[0].raw_affiliation_string | University of Virginia, USA |
| authorships[8].institutions[0].id | https://openalex.org/I51556381 |
| authorships[8].institutions[0].ror | https://ror.org/0153tk833 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I51556381 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | University of Virginia |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | John Stankovic |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | University of Virginia, USA |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://hdl.handle.net/1721.1/154071 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2024-03-07T00:00:00 |
| display_name | ViObject |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11707 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1709 |
| primary_topic.subfield.display_name | Human-Computer Interaction |
| primary_topic.display_name | Gaze Tracking and Assistive Technology |
| related_works | https://openalex.org/W2748818549, https://openalex.org/W4304142278, https://openalex.org/W2342865424, https://openalex.org/W2587509230, https://openalex.org/W4283331601, https://openalex.org/W2892210069, https://openalex.org/W3097068272, https://openalex.org/W4210780304, https://openalex.org/W3093846146, https://openalex.org/W2802035586 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 4 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:dspace.mit.edu:1721.1/154071 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400425 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | DSpace@MIT (Massachusetts Institute of Technology) |
| best_oa_location.source.host_organization | https://openalex.org/I63966007 |
| best_oa_location.source.host_organization_name | Massachusetts Institute of Technology |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I63966007 |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | ACM |
| best_oa_location.landing_page_url | https://hdl.handle.net/1721.1/154071 |
| primary_location.id | doi:10.1145/3643547 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S4210219751 |
| primary_location.source.issn | 2474-9567 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2474-9567 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies |
| primary_location.source.host_organization | https://openalex.org/P4310319798 |
| primary_location.source.host_organization_name | Association for Computing Machinery |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319798 |
| primary_location.source.host_organization_lineage_names | Association for Computing Machinery |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies |
| primary_location.landing_page_url | https://doi.org/10.1145/3643547 |
| publication_date | 2024-03-06 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2032191478, https://openalex.org/W3206725465, https://openalex.org/W2964844492, https://openalex.org/W3146409945, https://openalex.org/W3108440055, https://openalex.org/W3107551599, https://openalex.org/W2810135546, https://openalex.org/W2963438610, https://openalex.org/W2740398210, https://openalex.org/W4396853029, https://openalex.org/W2792005484, https://openalex.org/W4297783816, https://openalex.org/W4387801274, https://openalex.org/W2041111747, https://openalex.org/W2346389740, https://openalex.org/W3118001208, https://openalex.org/W2070750307, https://openalex.org/W2980411555, https://openalex.org/W2972418643, https://openalex.org/W1991937516, https://openalex.org/W2960079679, https://openalex.org/W2074871148, https://openalex.org/W2169709590, https://openalex.org/W2027064609, https://openalex.org/W2194775991, https://openalex.org/W3141334289, https://openalex.org/W2972169329, https://openalex.org/W2149891956, https://openalex.org/W2611577320, https://openalex.org/W2046317813, https://openalex.org/W1860259465, https://openalex.org/W2941266383, https://openalex.org/W2538172027, https://openalex.org/W2144299314, https://openalex.org/W2730482441, https://openalex.org/W2593097720, https://openalex.org/W1993138654, https://openalex.org/W2940771345, https://openalex.org/W2963221612, https://openalex.org/W4210999225, https://openalex.org/W2073008104, https://openalex.org/W2941851345, https://openalex.org/W2888248339, https://openalex.org/W2795619128, https://openalex.org/W1980592899, https://openalex.org/W2761676759, https://openalex.org/W2138727017, https://openalex.org/W3007208896, https://openalex.org/W3092967957, https://openalex.org/W2610935612, https://openalex.org/W4220783478, https://openalex.org/W3021574417, https://openalex.org/W4241703052, https://openalex.org/W2070898343, https://openalex.org/W2537024443, https://openalex.org/W2752010061, https://openalex.org/W2130733969, https://openalex.org/W2795600692, https://openalex.org/W2908341605, https://openalex.org/W3085381598, https://openalex.org/W2896198943, https://openalex.org/W2754559321, https://openalex.org/W4396852901, https://openalex.org/W2761292292, https://openalex.org/W2160535745, https://openalex.org/W2527820321 |
| referenced_works_count | 66 |
| abstract_inverted_index.a | 5, 24, 77, 130, 167 |
| abstract_inverted_index.20 | 133, 136 |
| abstract_inverted_index.In | 91 |
| abstract_inverted_index.We | 124, 148 |
| abstract_inverted_index.an | 143, 159 |
| abstract_inverted_index.as | 106 |
| abstract_inverted_index.by | 4, 54 |
| abstract_inverted_index.in | 187 |
| abstract_inverted_index.of | 80, 100, 132, 146, 162, 171 |
| abstract_inverted_index.on | 50 |
| abstract_inverted_index.or | 63 |
| abstract_inverted_index.to | 42, 68, 86, 102, 118 |
| abstract_inverted_index.up | 180 |
| abstract_inverted_index.we | 94 |
| abstract_inverted_index.The | 47 |
| abstract_inverted_index.and | 17, 35, 57, 88, 98, 115, 121, 138, 155, 178, 185 |
| abstract_inverted_index.can | 7, 72 |
| abstract_inverted_index.for | 12, 28, 76, 152, 183 |
| abstract_inverted_index.new | 119, 122, 153, 156, 181 |
| abstract_inverted_index.not | 59 |
| abstract_inverted_index.the | 1, 15, 18, 51, 96, 126 |
| abstract_inverted_index.This | 21 |
| abstract_inverted_index.also | 149 |
| abstract_inverted_index.data | 38 |
| abstract_inverted_index.does | 58 |
| abstract_inverted_index.from | 39, 82, 135 |
| abstract_inverted_index.hand | 6 |
| abstract_inverted_index.have | 73 |
| abstract_inverted_index.home | 84 |
| abstract_inverted_index.show | 139 |
| abstract_inverted_index.such | 105 |
| abstract_inverted_index.that | 32, 140 |
| abstract_inverted_index.this | 92, 188 |
| abstract_inverted_index.uses | 33 |
| abstract_inverted_index.wide | 78 |
| abstract_inverted_index.area. | 189 |
| abstract_inverted_index.grasp | 113 |
| abstract_inverted_index.human | 16, 64 |
| abstract_inverted_index.model | 116 |
| abstract_inverted_index.novel | 25, 168 |
| abstract_inverted_index.offer | 8 |
| abstract_inverted_index.opens | 179 |
| abstract_inverted_index.paper | 22 |
| abstract_inverted_index.range | 79 |
| abstract_inverted_index.smart | 83 |
| abstract_inverted_index.users | 120, 154 |
| abstract_inverted_index.using | 129, 175 |
| abstract_inverted_index.86.4%. | 147 |
| abstract_inverted_index.90.1%. | 163 |
| abstract_inverted_index.caused | 53 |
| abstract_inverted_index.design | 97 |
| abstract_inverted_index.models | 151 |
| abstract_inverted_index.motion | 107 |
| abstract_inverted_index.object | 2, 30, 173 |
| abstract_inverted_index.paper, | 93 |
| abstract_inverted_index.relies | 49 |
| abstract_inverted_index.sensor | 37 |
| abstract_inverted_index.system | 48 |
| abstract_inverted_index.world. | 20 |
| abstract_inverted_index.Knowing | 0 |
| abstract_inverted_index.ability | 67 |
| abstract_inverted_index.address | 103 |
| abstract_inverted_index.avenues | 182 |
| abstract_inverted_index.average | 144, 160 |
| abstract_inverted_index.between | 14 |
| abstract_inverted_index.concept | 170 |
| abstract_inverted_index.dataset | 131 |
| abstract_inverted_index.effort. | 65 |
| abstract_inverted_index.grabbed | 3 |
| abstract_inverted_index.objects | 56, 70, 134 |
| abstract_inverted_index.passive | 29, 172 |
| abstract_inverted_index.present | 95 |
| abstract_inverted_index.require | 60 |
| abstract_inverted_index.system, | 26 |
| abstract_inverted_index.Overall, | 164 |
| abstract_inverted_index.ViObject | 141, 165 |
| abstract_inverted_index.accuracy | 145, 161 |
| abstract_inverted_index.achieves | 142 |
| abstract_inverted_index.evaluate | 125 |
| abstract_inverted_index.everyday | 45 |
| abstract_inverted_index.grabbing | 55 |
| abstract_inverted_index.hardware | 62 |
| abstract_inverted_index.identify | 43 |
| abstract_inverted_index.objects, | 157 |
| abstract_inverted_index.objects. | 46, 123 |
| abstract_inverted_index.physical | 19 |
| abstract_inverted_index.presents | 23 |
| abstract_inverted_index.research | 184 |
| abstract_inverted_index.system's | 127 |
| abstract_inverted_index.untagged | 44 |
| abstract_inverted_index.ViObject, | 27, 101 |
| abstract_inverted_index.achieving | 158 |
| abstract_inverted_index.assistive | 89 |
| abstract_inverted_index.commodity | 40, 176 |
| abstract_inverted_index.customize | 150 |
| abstract_inverted_index.different | 109, 112 |
| abstract_inverted_index.essential | 9 |
| abstract_inverted_index.gyroscope | 36 |
| abstract_inverted_index.important | 74 |
| abstract_inverted_index.passively | 71 |
| abstract_inverted_index.recognize | 69 |
| abstract_inverted_index.ViObject's | 66 |
| abstract_inverted_index.additional | 61 |
| abstract_inverted_index.automation | 85 |
| abstract_inverted_index.challenges | 104 |
| abstract_inverted_index.contextual | 10 |
| abstract_inverted_index.healthcare | 87 |
| abstract_inverted_index.innovation | 186 |
| abstract_inverted_index.positions, | 111 |
| abstract_inverted_index.technology | 169 |
| abstract_inverted_index.vibrations | 52 |
| abstract_inverted_index.information | 11 |
| abstract_inverted_index.interaction | 13 |
| abstract_inverted_index.performance | 128 |
| abstract_inverted_index.recognition | 31, 174 |
| abstract_inverted_index.demonstrates | 166 |
| abstract_inverted_index.implications | 75 |
| abstract_inverted_index.participants | 137 |
| abstract_inverted_index.smartwatches | 41, 177 |
| abstract_inverted_index.accelerometer | 34 |
| abstract_inverted_index.applications, | 81 |
| abstract_inverted_index.customization | 117 |
| abstract_inverted_index.interference, | 108 |
| abstract_inverted_index.technologies. | 90 |
| abstract_inverted_index.implementation | 99 |
| abstract_inverted_index.object-touching | 110 |
| abstract_inverted_index.speeds/pressure, | 114 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.87708412 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |