Transfer learning framework for early detection of fatigue using noninvasive surface electromyogram signals (SEMG)

Rita Chattopadhyay; Jieping Ye; Sethuraman Panchanathan

Transfer learning framework for early detection of fatigue using noninvasive surface electromyogram signals (SEMG)

Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan

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

Abstract

A multi source domain adaptation based learning for addressing subject based variability in myoelectric signals (SEMG), enabling generalized framework for detecting stages of fatigue.

Original language	English (US)
Title of host publication	Computational Physiology - Papers from the AAAI Spring Symposium, Technical Report
Publisher	AI Access Foundation
Pages	10-12
Number of pages	3
ISBN (Print)	9781577354963
State	Published - 2011
Event	2011 AAAI Spring Symposium - Stanford, CA, United States Duration: Mar 21 2011 → Mar 23 2011

Publication series

Name	AAAI Spring Symposium - Technical Report
Volume	SS-11-04

Other

Other	2011 AAAI Spring Symposium
Country/Territory	United States
City	Stanford, CA
Period	3/21/11 → 3/23/11

ASJC Scopus subject areas

Artificial Intelligence

Cite this

Transfer learning framework for early detection of fatigue using noninvasive surface electromyogram signals (SEMG). / Chattopadhyay, Rita; Ye, Jieping; Panchanathan, Sethuraman.
Computational Physiology - Papers from the AAAI Spring Symposium, Technical Report. AI Access Foundation, 2011. p. 10-12 (AAAI Spring Symposium - Technical Report; Vol. SS-11-04).

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

Chattopadhyay, R, Ye, J & Panchanathan, S 2011, Transfer learning framework for early detection of fatigue using noninvasive surface electromyogram signals (SEMG). in Computational Physiology - Papers from the AAAI Spring Symposium, Technical Report. AAAI Spring Symposium - Technical Report, vol. SS-11-04, AI Access Foundation, pp. 10-12, 2011 AAAI Spring Symposium, Stanford, CA, United States, 3/21/11.

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Transfer learning framework for early detection of fatigue using noninvasive surface electromyogram signals (SEMG)

Abstract

Publication series

Other

ASJC Scopus subject areas

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