A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems

Hongnian Yu; Shuang Cang; Yan Wang

doi:10.1109/SKIMA.2016.7916228

A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems

Hongnian Yu, Shuang Cang, Yan Wang

Marketing Operations and Systems Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

39 Citations (Scopus)

Abstract

Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

Original language	English
Title of host publication	SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications
Publisher	IEEE
Pages	250-257
Number of pages	8
ISBN (Electronic)	9781509032976
ISBN (Print)	9781509032990
DOIs	https://doi.org/10.1109/SKIMA.2016.7916228
Publication status	Published - 4 May 2017
Event	10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016 - Chengdu, China Duration: 15 Dec 2016 → 17 Dec 2016

Conference

Conference	10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016
Country/Territory	China
City	Chengdu
Period	15/12/16 → 17/12/16

Keywords

daily activity recognition
data collection
sensor deployment
sensor device
wearable sensors

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10.1109/SKIMA.2016.7916228

Cite this

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title = "A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems",

abstract = "Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.",

keywords = "daily activity recognition, data collection, sensor deployment, sensor device, wearable sensors",

author = "Hongnian Yu and Shuang Cang and Yan Wang",

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doi = "10.1109/SKIMA.2016.7916228",

language = "English",

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pages = "250--257",

booktitle = "SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications",

publisher = "IEEE",

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note = "10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016 ; Conference date: 15-12-2016 Through 17-12-2016",

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Yu, H, Cang, S & Wang, Y 2017, A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems. in SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications., 7916228, IEEE, pp. 250-257, 10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016, Chengdu, China, 15/12/16. https://doi.org/10.1109/SKIMA.2016.7916228

A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems. / Yu, Hongnian; Cang, Shuang; Wang, Yan.
SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications. IEEE, 2017. p. 250-257 7916228.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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N2 - Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

AB - Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

KW - daily activity recognition

KW - data collection

KW - sensor deployment

KW - sensor device

KW - wearable sensors

U2 - 10.1109/SKIMA.2016.7916228

DO - 10.1109/SKIMA.2016.7916228

M3 - Conference contribution

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SN - 9781509032990

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BT - SKIMA 2016 - 2016 10th International Conference on Software, Knowledge, Information Management and Applications

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T2 - 10th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2016

Y2 - 15 December 2016 through 17 December 2016

ER -

A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems

Abstract

Conference

Keywords

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