Resource-Efficient Computing in Wearable Systems Article Swipe

PDF

Mahdi Pedram , Mahsan Rofouei , Francesco Fraternali , Zhila Esna Ashari , Hassan Ghasemzadeh ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.48550/arxiv.1907.03247

We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems. Our method derives a hierarchical classifier structure for Support Vector Machine (SVM) in order to reduce the amount of computations, based on the probability distribution of output classes occurrences. Also, we propose a memory optimization technique based on SVM parameters, which results in storing fewer support vectors and as a result requiring less memory. To demonstrate the efficiency of our proposed techniques, we performed an activity recognition experiment and were able to save up to 35% and 56% in memory storage when classifying 14 and 6 different activities, respectively. In addition, we demonstrated that there is a trade-off between accuracy of classification and memory savings, which can be controlled based on application requirements.

Related Topics

Computer Science

Support Vector Machine

Wearable Computer

Machine Learning

Artificial Intelligence

Data Mining

Embedded System

Algorithm

Concepts

Computer science Support vector machine Wearable computer Computation Classifier (UML) Machine learning Artificial intelligence Data mining Embedded system Algorithm

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/1907.03247
PDF: https://arxiv.org/pdf/1907.03247
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4285827833

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4285827833

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.1907.03247

Digital Object Identifier
Title: Resource-Efficient Computing in Wearable Systems

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2019

Year of publication
Publication date: 2019-07-07

Full publication date if available
Authors: Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh

List of authors in order
Landing page: https://arxiv.org/abs/1907.03247

Publisher landing page
PDF URL: https://arxiv.org/pdf/1907.03247

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/1907.03247

Direct OA link when available
Concepts: Computer science, Support vector machine, Wearable computer, Computation, Classifier (UML), Machine learning, Artificial intelligence, Data mining, Embedded system, Algorithm

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4285827833
doi	https://doi.org/10.48550/arxiv.1907.03247
ids.doi	https://doi.org/10.48550/arxiv.1907.03247
ids.openalex	https://openalex.org/W4285827833
fwci	0.0
type	preprint
title	Resource-Efficient Computing in Wearable Systems
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10444
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.9945999979972839
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1707
topics[0].subfield.display_name	Computer Vision and Pattern Recognition
topics[0].display_name	Context-Aware Activity Recognition Systems
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.8148751258850098
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C12267149
concepts[1].level	2
concepts[1].score	0.7423087954521179
concepts[1].wikidata	https://www.wikidata.org/wiki/Q282453
concepts[1].display_name	Support vector machine
concepts[2].id	https://openalex.org/C150594956
concepts[2].level	2
concepts[2].score	0.6784777641296387
concepts[2].wikidata	https://www.wikidata.org/wiki/Q1334829
concepts[2].display_name	Wearable computer
concepts[3].id	https://openalex.org/C45374587
concepts[3].level	2
concepts[3].score	0.6480423212051392
concepts[3].wikidata	https://www.wikidata.org/wiki/Q12525525
concepts[3].display_name	Computation
concepts[4].id	https://openalex.org/C95623464
concepts[4].level	2
concepts[4].score	0.5789076089859009
concepts[4].wikidata	https://www.wikidata.org/wiki/Q1096149
concepts[4].display_name	Classifier (UML)
concepts[5].id	https://openalex.org/C119857082
concepts[5].level	1
concepts[5].score	0.4165674149990082
concepts[5].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[5].display_name	Machine learning
concepts[6].id	https://openalex.org/C154945302
concepts[6].level	1
concepts[6].score	0.38770776987075806
concepts[6].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[6].display_name	Artificial intelligence
concepts[7].id	https://openalex.org/C124101348
concepts[7].level	1
concepts[7].score	0.3819448947906494
concepts[7].wikidata	https://www.wikidata.org/wiki/Q172491
concepts[7].display_name	Data mining
concepts[8].id	https://openalex.org/C149635348
concepts[8].level	1
concepts[8].score	0.216374009847641
concepts[8].wikidata	https://www.wikidata.org/wiki/Q193040
concepts[8].display_name	Embedded system
concepts[9].id	https://openalex.org/C11413529
concepts[9].level	1
concepts[9].score	0.15124425292015076
concepts[9].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[9].display_name	Algorithm
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.8148751258850098
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/support-vector-machine
keywords[1].score	0.7423087954521179
keywords[1].display_name	Support vector machine
keywords[2].id	https://openalex.org/keywords/wearable-computer
keywords[2].score	0.6784777641296387
keywords[2].display_name	Wearable computer
keywords[3].id	https://openalex.org/keywords/computation
keywords[3].score	0.6480423212051392
keywords[3].display_name	Computation
keywords[4].id	https://openalex.org/keywords/classifier
keywords[4].score	0.5789076089859009
keywords[4].display_name	Classifier (UML)
keywords[5].id	https://openalex.org/keywords/machine-learning
keywords[5].score	0.4165674149990082
keywords[5].display_name	Machine learning
keywords[6].id	https://openalex.org/keywords/artificial-intelligence
keywords[6].score	0.38770776987075806
keywords[6].display_name	Artificial intelligence
keywords[7].id	https://openalex.org/keywords/data-mining
keywords[7].score	0.3819448947906494
keywords[7].display_name	Data mining
keywords[8].id	https://openalex.org/keywords/embedded-system
keywords[8].score	0.216374009847641
keywords[8].display_name	Embedded system
keywords[9].id	https://openalex.org/keywords/algorithm
keywords[9].score	0.15124425292015076
keywords[9].display_name	Algorithm
language	en
locations[0].id	pmh:oai:arXiv.org:1907.03247
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/1907.03247
locations[0].version	submittedVersion
locations[0].raw_type
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/1907.03247
locations[1].id	doi:10.48550/arxiv.1907.03247
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article-journal
locations[1].license_id
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.1907.03247
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5001759639
authorships[0].author.orcid	https://orcid.org/0000-0001-5742-6529
authorships[0].author.display_name	Mahdi Pedram
authorships[0].author_position	first
authorships[0].raw_author_name	Pedram, Mahdi
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5029068137
authorships[1].author.orcid
authorships[1].author.display_name	Mahsan Rofouei
authorships[1].author_position	middle
authorships[1].raw_author_name	Rofouei, Mahsan
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5037217528
authorships[2].author.orcid
authorships[2].author.display_name	Francesco Fraternali
authorships[2].author_position	middle
authorships[2].raw_author_name	Fraternali, Francesco
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5074278707
authorships[3].author.orcid	https://orcid.org/0000-0003-0454-7794
authorships[3].author.display_name	Zhila Esna Ashari
authorships[3].author_position	middle
authorships[3].raw_author_name	Ashari, Zhila Esna
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5007139473
authorships[4].author.orcid	https://orcid.org/0000-0002-1844-1416
authorships[4].author.display_name	Hassan Ghasemzadeh
authorships[4].author_position	last
authorships[4].raw_author_name	Ghasemzadeh, Hassan
authorships[4].is_corresponding	False
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/1907.03247
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Resource-Efficient Computing in Wearable Systems
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T10444
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.9945999979972839
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1707
primary_topic.subfield.display_name	Computer Vision and Pattern Recognition
primary_topic.display_name	Context-Aware Activity Recognition Systems
related_works	https://openalex.org/W2090763504, https://openalex.org/W148178222, https://openalex.org/W2104657898, https://openalex.org/W1948992892, https://openalex.org/W1886884218, https://openalex.org/W1910826599, https://openalex.org/W2012353789, https://openalex.org/W2530420969, https://openalex.org/W2051187167, https://openalex.org/W4231775656
cited_by_count	0
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:1907.03247
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
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	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/1907.03247
best_oa_location.version	submittedVersion
best_oa_location.raw_type
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/1907.03247
primary_location.id	pmh:oai:arXiv.org:1907.03247
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/1907.03247
primary_location.version	submittedVersion
primary_location.raw_type
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/1907.03247
publication_date	2019-07-07
publication_year	2019
referenced_works_count	0
abstract_inverted_index.6	107
abstract_inverted_index.a	25, 54, 71, 118
abstract_inverted_index.14	105
abstract_inverted_index.In	111
abstract_inverted_index.To	76
abstract_inverted_index.We	0
abstract_inverted_index.an	86
abstract_inverted_index.as	70
abstract_inverted_index.be	129
abstract_inverted_index.in	19, 34, 64, 100
abstract_inverted_index.is	117
abstract_inverted_index.of	40, 47, 80, 122
abstract_inverted_index.on	43, 59, 132
abstract_inverted_index.to	5, 36, 93, 96
abstract_inverted_index.up	95
abstract_inverted_index.we	52, 84, 113
abstract_inverted_index.35%	97
abstract_inverted_index.56%	99
abstract_inverted_index.Our	22
abstract_inverted_index.SVM	60
abstract_inverted_index.and	9, 69, 90, 98, 106, 124
abstract_inverted_index.can	128
abstract_inverted_index.for	16, 29
abstract_inverted_index.our	81
abstract_inverted_index.the	38, 44, 78
abstract_inverted_index.two	2
abstract_inverted_index.able	92
abstract_inverted_index.less	74
abstract_inverted_index.save	94
abstract_inverted_index.that	115
abstract_inverted_index.were	91
abstract_inverted_index.when	103
abstract_inverted_index.(SVM)	33
abstract_inverted_index.Also,	51
abstract_inverted_index.based	42, 58, 131
abstract_inverted_index.fewer	66
abstract_inverted_index.order	35
abstract_inverted_index.there	116
abstract_inverted_index.usage	8
abstract_inverted_index.which	62, 127
abstract_inverted_index.while	11
abstract_inverted_index.Vector	31
abstract_inverted_index.amount	39
abstract_inverted_index.memory	7, 55, 101, 125
abstract_inverted_index.method	23
abstract_inverted_index.output	48
abstract_inverted_index.reduce	37
abstract_inverted_index.result	72
abstract_inverted_index.system	13
abstract_inverted_index.timing	14
abstract_inverted_index.Machine	32
abstract_inverted_index.Support	30
abstract_inverted_index.between	120
abstract_inverted_index.classes	49
abstract_inverted_index.derives	24
abstract_inverted_index.meeting	12
abstract_inverted_index.memory.	75
abstract_inverted_index.propose	1, 53
abstract_inverted_index.results	63
abstract_inverted_index.storage	102
abstract_inverted_index.storing	65
abstract_inverted_index.support	67
abstract_inverted_index.vectors	68
abstract_inverted_index.accuracy	121
abstract_inverted_index.activity	87
abstract_inverted_index.minimize	6
abstract_inverted_index.proposed	82
abstract_inverted_index.savings,	126
abstract_inverted_index.systems.	21
abstract_inverted_index.wearable	20
abstract_inverted_index.addition,	112
abstract_inverted_index.different	108
abstract_inverted_index.performed	85
abstract_inverted_index.real-time	17
abstract_inverted_index.requiring	73
abstract_inverted_index.structure	28
abstract_inverted_index.technique	57
abstract_inverted_index.trade-off	119
abstract_inverted_index.classifier	27
abstract_inverted_index.controlled	130
abstract_inverted_index.efficiency	79
abstract_inverted_index.experiment	89
abstract_inverted_index.techniques	4
abstract_inverted_index.activities,	109
abstract_inverted_index.application	133
abstract_inverted_index.classifying	104
abstract_inverted_index.computation	10
abstract_inverted_index.constraints	15
abstract_inverted_index.demonstrate	77
abstract_inverted_index.parameters,	61
abstract_inverted_index.probability	45
abstract_inverted_index.recognition	88
abstract_inverted_index.techniques,	83
abstract_inverted_index.demonstrated	114
abstract_inverted_index.distribution	46
abstract_inverted_index.hierarchical	26
abstract_inverted_index.occurrences.	50
abstract_inverted_index.optimization	3, 56
abstract_inverted_index.computations,	41
abstract_inverted_index.requirements.	134
abstract_inverted_index.respectively.	110
abstract_inverted_index.classification	18, 123
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	5
sustainable_development_goals[0].id	https://metadata.un.org/sdg/8
sustainable_development_goals[0].score	0.550000011920929
sustainable_development_goals[0].display_name	Decent work and economic growth
citation_normalized_percentile.value	0.2659871
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False