A Survey on Multi-Resident Activity Recognition in Smart Environments Article Swipe
Farhad Mortezapour Shiri
,
Thinagaran Perumal
,
Aida Mustapha
,
Raihani Mohamed
,
Mohd Anuaruddin Bin Ahmadon
,
Shingo Yamaguchi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.12304
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.12304
Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals within a given environment. These systems have a wide range of applications, including assisting with caring tasks, increasing security, and improving energy efficiency. However, there are several challenges that must be addressed in order to effectively utilize HAR systems in multi-resident environments. One of the key challenges is accurately associating sensor observations with the identities of the individuals involved, which can be particularly difficult when residents are engaging in complex and collaborative activities. This paper provides a brief overview of the design and implementation of HAR systems, including a summary of the various data collection devices and approaches used for human activity identification. It also reviews previous research on the use of these systems in multi-resident environments and offers conclusions on the current state of the art in the field.
Related Topics
Concepts
Activity recognition
Computer science
Field (mathematics)
Data science
Identification (biology)
Human–computer interaction
Key (lock)
Data collection
State (computer science)
Assisted living
Artificial intelligence
Computer security
Pure mathematics
Algorithm
Biology
Statistics
Nursing
Botany
Mathematics
Medicine
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2304.12304
- https://arxiv.org/pdf/2304.12304
- OA Status
- green
- Cited By
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4367000528
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4367000528Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2304.12304Digital Object Identifier
- Title
-
A Survey on Multi-Resident Activity Recognition in Smart EnvironmentsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-24Full publication date if available
- Authors
-
Farhad Mortezapour Shiri, Thinagaran Perumal, Aida Mustapha, Raihani Mohamed, Mohd Anuaruddin Bin Ahmadon, Shingo YamaguchiList of authors in order
- Landing page
-
https://arxiv.org/abs/2304.12304Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2304.12304Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2304.12304Direct OA link when available
- Concepts
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Activity recognition, Computer science, Field (mathematics), Data science, Identification (biology), Human–computer interaction, Key (lock), Data collection, State (computer science), Assisted living, Artificial intelligence, Computer security, Pure mathematics, Algorithm, Biology, Statistics, Nursing, Botany, Mathematics, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 4, 2023: 2Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.devices | 120 |
| abstract_inverted_index.growing | 7 |
| abstract_inverted_index.rapidly | 6 |
| abstract_inverted_index.reviews | 130 |
| abstract_inverted_index.several | 51 |
| abstract_inverted_index.summary | 114 |
| abstract_inverted_index.systems | 30, 63, 138 |
| abstract_inverted_index.utilize | 61 |
| abstract_inverted_index.various | 117 |
| abstract_inverted_index.However, | 48 |
| abstract_inverted_index.activity | 1, 126 |
| abstract_inverted_index.classify | 18 |
| abstract_inverted_index.devices, | 12 |
| abstract_inverted_index.engaging | 92 |
| abstract_inverted_index.identify | 20 |
| abstract_inverted_index.overview | 103 |
| abstract_inverted_index.previous | 131 |
| abstract_inverted_index.provides | 100 |
| abstract_inverted_index.research | 132 |
| abstract_inverted_index.sensors, | 13 |
| abstract_inverted_index.systems, | 111 |
| abstract_inverted_index.utilizes | 10 |
| abstract_inverted_index.addressed | 56 |
| abstract_inverted_index.assisting | 38 |
| abstract_inverted_index.difficult | 88 |
| abstract_inverted_index.improving | 45 |
| abstract_inverted_index.including | 37, 112 |
| abstract_inverted_index.involved, | 83 |
| abstract_inverted_index.residents | 90 |
| abstract_inverted_index.security, | 43 |
| abstract_inverted_index.accurately | 73 |
| abstract_inverted_index.algorithms | 15 |
| abstract_inverted_index.approaches | 122 |
| abstract_inverted_index.challenges | 52, 71 |
| abstract_inverted_index.collection | 119 |
| abstract_inverted_index.identities | 79 |
| abstract_inverted_index.increasing | 42 |
| abstract_inverted_index.activities. | 97 |
| abstract_inverted_index.associating | 74 |
| abstract_inverted_index.conclusions | 144 |
| abstract_inverted_index.effectively | 60 |
| abstract_inverted_index.efficiency. | 47 |
| abstract_inverted_index.individuals | 24, 82 |
| abstract_inverted_index.recognition | 2 |
| abstract_inverted_index.environment. | 28 |
| abstract_inverted_index.environments | 141 |
| abstract_inverted_index.observations | 76 |
| abstract_inverted_index.particularly | 87 |
| abstract_inverted_index.applications, | 36 |
| abstract_inverted_index.automatically | 17 |
| abstract_inverted_index.collaborative | 96 |
| abstract_inverted_index.environments. | 66 |
| abstract_inverted_index.implementation | 108 |
| abstract_inverted_index.multi-resident | 65, 140 |
| abstract_inverted_index.identification. | 127 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |