Enea Ceolini, Gemma Taverni, Lyes Khacef, M. Payvand, Elisa Donati
{"title":"Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications","authors":"Enea Ceolini, Gemma Taverni, Lyes Khacef, M. Payvand, Elisa Donati","doi":"10.1109/BIOCAS.2019.8919163","DOIUrl":null,"url":null,"abstract":"The demonstration shows a mobile application, called \"RELAX\", for hand gesture classification using multi-sensors fusion. In particular, we integrated the data collected by an electromyography (EMG) sensor with the events produced by an event-based vision sensor, the Dynamic Vision Sensor (DVS). The application runs real-time on any Android smartphone and it is able to recognize five gestures with an accuracy of up to 85%.This demonstration is associated with the track Bio-Inspired and Neuromorphic Circuits and Systems. Associated paper submission identifier: 8114.","PeriodicalId":222264,"journal":{"name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2019.8919163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The demonstration shows a mobile application, called "RELAX", for hand gesture classification using multi-sensors fusion. In particular, we integrated the data collected by an electromyography (EMG) sensor with the events produced by an event-based vision sensor, the Dynamic Vision Sensor (DVS). The application runs real-time on any Android smartphone and it is able to recognize five gestures with an accuracy of up to 85%.This demonstration is associated with the track Bio-Inspired and Neuromorphic Circuits and Systems. Associated paper submission identifier: 8114.