Energy-efficient activity monitoring system using a wearable acceleration sensor

Ik Hyun Youn; Sangil Choi; Jong Hoon Youn

doi:10.1007/978-981-10-1409-3_8

Energy-efficient activity monitoring system using a wearable acceleration sensor

Ik Hyun Youn, Sangil Choi, Jong Hoon Youn

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

Abstract

As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.

Original language	English (US)
Title of host publication	Mobile and Wireless Technologies 2016
Editors	Kuinam J. Kim, Naruemon Wattanapongsakorn, Nikolai Joukov
Publisher	Springer Verlag
Pages	69-77
Number of pages	9
ISBN (Print)	9789811014086
DOIs	https://doi.org/10.1007/978-981-10-1409-3_8
State	Published - 2016
Event	International Conference on Mobile and Wireless Technology, ICMWT 2016 - Jeju Island, Korea, Republic of Duration: May 23 2016 → May 26 2016

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	391
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	International Conference on Mobile and Wireless Technology, ICMWT 2016
Country/Territory	Korea, Republic of
City	Jeju Island
Period	5/23/16 → 5/26/16

Keywords

Accelerometer
Energy efficiency
Physical activity classification
Wearable sensor

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-10-1409-3_8

Cite this

Energy-efficient activity monitoring system using a wearable acceleration sensor. / Youn, Ik Hyun; Choi, Sangil; Youn, Jong Hoon.
Mobile and Wireless Technologies 2016. ed. / Kuinam J. Kim; Naruemon Wattanapongsakorn; Nikolai Joukov. Springer Verlag, 2016. p. 69-77 (Lecture Notes in Electrical Engineering; Vol. 391).

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

Youn, IH, Choi, S & Youn, JH 2016, Energy-efficient activity monitoring system using a wearable acceleration sensor. in KJ Kim, N Wattanapongsakorn & N Joukov (eds), Mobile and Wireless Technologies 2016. Lecture Notes in Electrical Engineering, vol. 391, Springer Verlag, pp. 69-77, International Conference on Mobile and Wireless Technology, ICMWT 2016, Jeju Island, Korea, Republic of, 5/23/16. https://doi.org/10.1007/978-981-10-1409-3_8

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abstract = "As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.",

keywords = "Accelerometer, Energy efficiency, Physical activity classification, Wearable sensor",

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N2 - As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.

AB - As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.

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Energy-efficient activity monitoring system using a wearable acceleration sensor

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Keywords

ASJC Scopus subject areas

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