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Rozdział

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Tytuł

Hand gesture-based interface with multichannel sEMG band enabling unknown gesture discrimination

Autorzy

[ 1 ] Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ D ] doktorant | [ P ] pracownik

Rok publikacji

2015

Typ rozdziału

referat

Język publikacji

angielski

Streszczenie

EN A forearm band consisting of 7 EMG sensors was developed. The band is dedicated to serve as a human-machine interface and its applicability as a gesture-based interface was presented. The gesture recognition was performed by ANN with softmax output function. The classifier uses output entropy function to discriminate between known command gestures and unknown gestures. 15 features of low computational complexity were selected. The preliminary test was performed for 4 healthy volunteers. Continuous time series were used, including unknown gestures and transitions. Special attention was paid to analyze system properties of detecting and rejecting unknown gestures (not commands movements), even if they were not included in training set. Obtained preliminary results show the sensitivity for command gestures (including transition phases) of 97% and fall out of 1.9%. In case of the system trained to reject unknown gestures the sensitivity and fall out were 82% and 9%, respectively. The calculated unknown gestures rejection rate was at 96%. It was shown that in most cases the interface is robust to false positive detection of command gestures while performing other gestures, even if the same muscles groups were recruited for movement.

Strony (od-do)

52 - 57

DOI

10.1109/RoMoCo.2015.7219713

URL

https://ieeexplore.ieee.org/document/7219713

Książka

10th International Workshop on Robot Motion and Control, RoMoCo 2015, Poznań, Poland, July 6-8, 2015

Zaprezentowany na

10th International Workshop on Robot Motion and Control, RoMoCo' 15, 6-8.07.2015, Poznan, Poland

Publikacja indeksowana w

WoS (15)

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