Accelerometer based human activities and posture recognition

Arun Babu; Kudakwashe Dube; Subhas Mukhopadhyay; Hemant Ghayvat; M. V. Jithin Kumar

doi:10.1109/SAPIENCE.2016.7684120

Accelerometer based human activities and posture recognition

Arun Babu^*, Kudakwashe Dube, Subhas Mukhopadhyay, Hemant Ghayvat, M. V. Jithin Kumar

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

The quantity of elderly people like to live in their homes, secluded, in their brilliant age is expanding exponentially. This is not a perfect path for an elderly individual to live. However, the urbanization and resultant change of the social and social conduct makes it a more regular event. Falls are a noteworthy reason for death and horribleness in more established grown-ups. In this way, it has turn into an opportune need to create mechanized look after the elderly. The first end, purpose of such fall computer looking-glass is to ready caregivers of the fall event, which can then start an earlier process. In the present study, we amplify the use of wearable inertial sensors for fall identification and information of human posture and activities, by creating and assessing the precision of a sensor framework for identifying the same. We found that our system could discover fall events and monitor human activities with at least 95% accuracy.

Original language	English
Title of host publication	SAPIENCE 2016
Subtitle of host publication	Proceedings of 2016 International Conference on Data Mining and Advanced Computing
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	367-373
Number of pages	7
ISBN (Electronic)	9781467385947
DOIs	https://doi.org/10.1109/SAPIENCE.2016.7684120
Publication status	Published - 25 Oct 2016
Externally published	Yes
Event	2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 - Ernakulam, India Duration: 16 Mar 2016 → 18 Mar 2016

Other

Other	2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016
Country/Territory	India
City	Ernakulam
Period	16/03/16 → 18/03/16

Keywords

fall detection
wearable sensors
accelerometer
posture recognition
human activities

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10.1109/SAPIENCE.2016.7684120

Cite this

Babu, A., Dube, K., Mukhopadhyay, S., Ghayvat, H., & Jithin Kumar, M. V. (2016). Accelerometer based human activities and posture recognition. In SAPIENCE 2016: Proceedings of 2016 International Conference on Data Mining and Advanced Computing (pp. 367-373). [7684120] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SAPIENCE.2016.7684120

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abstract = "The quantity of elderly people like to live in their homes, secluded, in their brilliant age is expanding exponentially. This is not a perfect path for an elderly individual to live. However, the urbanization and resultant change of the social and social conduct makes it a more regular event. Falls are a noteworthy reason for death and horribleness in more established grown-ups. In this way, it has turn into an opportune need to create mechanized look after the elderly. The first end, purpose of such fall computer looking-glass is to ready caregivers of the fall event, which can then start an earlier process. In the present study, we amplify the use of wearable inertial sensors for fall identification and information of human posture and activities, by creating and assessing the precision of a sensor framework for identifying the same. We found that our system could discover fall events and monitor human activities with at least 95% accuracy.",

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author = "Arun Babu and Kudakwashe Dube and Subhas Mukhopadhyay and Hemant Ghayvat and {Jithin Kumar}, {M. V.}",

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Babu, A, Dube, K, Mukhopadhyay, S, Ghayvat, H & Jithin Kumar, MV 2016, Accelerometer based human activities and posture recognition. in SAPIENCE 2016: Proceedings of 2016 International Conference on Data Mining and Advanced Computing., 7684120, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 367-373, 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016, Ernakulam, India, 16/03/16. https://doi.org/10.1109/SAPIENCE.2016.7684120

Accelerometer based human activities and posture recognition. / Babu, Arun; Dube, Kudakwashe; Mukhopadhyay, Subhas; Ghayvat, Hemant; Jithin Kumar, M. V.

SAPIENCE 2016: Proceedings of 2016 International Conference on Data Mining and Advanced Computing. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 367-373 7684120.

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

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AU - Dube, Kudakwashe

AU - Mukhopadhyay, Subhas

AU - Ghayvat, Hemant

AU - Jithin Kumar, M. V.

PY - 2016/10/25

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Accelerometer based human activities and posture recognition

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