Sensor-classifier co-optimization for wearable human activity recognition applications

Anish Nk, Ganapati Bhat, Jaehyun Park, Hyung Gyu Lee, Umit Y. Ogras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Advances in integrated sensors and low-power electronics have led to an increase in the use of wearable devices for health and activity monitoring applications. These devices have severe limitations on weight, form-factor, and battery size since they have to be comfortable to wear. Therefore, they must minimize the total platform energy consumption while satisfying functionality (e.g., accuracy) and performance requirements. Optimizing the platform-level energy efficiency requires considering both the sensor and processing subsystems. To this end, this paper presents a sensor-classifier co-optimization technique with human activity recognition as a driver application. The proposed technique dynamically powers down the accelerometer sensors and controls their sampling rate as a function of the user activity. It leads to a 49% reduction in total platform energy consumption with less than 1% decrease in activity recognition accuracy.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728124377
DOIs
StatePublished - Jun 2019
Event2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019 - Las Vegas, United States
Duration: Jun 2 2019Jun 3 2019

Publication series

Name2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019

Conference

Conference2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019
CountryUnited States
CityLas Vegas
Period6/2/196/3/19

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Keywords

  • Flexible hybrid electronics (FHE)
  • Health monitoring
  • Human activity recognition
  • IoT
  • Wearable computing

ASJC Scopus subject areas

  • Software
  • Instrumentation
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Nk, A., Bhat, G., Park, J., Lee, H. G., & Ogras, U. Y. (2019). Sensor-classifier co-optimization for wearable human activity recognition applications. In 2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019 [8782506] (2019 IEEE International Conference on Embedded Software and Systems, ICESS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICESS.2019.8782506