Attention-based adaptive sampling for continuous EMG data streams

Schiboni G, Suarez Mora JC, Zhang R, Amft O (2020)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1178-1183

Conference Proceedings Title: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

Event location: Leicester GB

ISBN: 978-1-7281-4035-3

DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00219

Abstract

This paper presents an online attention-based adaptive sampling approach for EMG data streams. Our sampling strategy is based on dynamically tuning the duty cycle of an EMG monitoring and recognition system. A response model was developed to adjust the EMG system's sampling rate depending on the signal pattern. The response model was implemented by two sampling rate states. We report a case study of an eyeglasses diet monitoring system that implements the adaptive sampling strategy to monitor the Temporalis muscle activity. We show that the adaptive sampling approach can reduce energy consumption in a free-living study dataset with ten participants. Compared to a static uniform sampling, our approach yields an energy saving on 70%, while recognition performance remained above 80%.

Authors with CRIS profile

Giovanni Schiboni Lehrstuhl für Digital Health Juan Carlos Suarez Mora Lehrstuhl für Digital Health Rui Zhang Lehrstuhl für Digital Health Oliver Amft Lehrstuhl für Digital Health

How to cite

APA:

Schiboni, G., Suarez Mora, J.C., Zhang, R., & Amft, O. (2019). Attention-based adaptive sampling for continuous EMG data streams. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 1178-1183). Leicester, GB: Institute of Electrical and Electronics Engineers Inc..

MLA:

Schiboni, Giovanni, et al. "Attention-based adaptive sampling for continuous EMG data streams." Proceedings of the 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, Leicester Institute of Electrical and Electronics Engineers Inc., 2019. 1178-1183.

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