{"title":"The HCI method for upper limb disabilities based on EMG and gyros","authors":"Tengyu Zhang, Lifeng Li, Heping Yan","doi":"10.1109/AMC.2014.6823321","DOIUrl":null,"url":null,"abstract":"In order to solve the issue of the paraplegias and upper limb disabilities to operate electronic devices, a barrier-free human-computer interaction (HCI) method based on electromyography (EMG) and gyroscopes was researched in this paper. After the analysis and test, the EMG signals of temporal muscle were selected as the control source. To bite as a trigger action, depending on different tooth movements, temporal muscles produce different characteristics of EMG signals, so that to control equipment for different functions. Using the output signal of gyro on the head, the information for head rotation can be obtained, and the equipment can be controlled to achieve the appropriate spatial displacement and positioning. Experiments show that, using this method, the user can easily achieve human-computer interaction by bite and slight head movements. It has good application prospects.","PeriodicalId":6439,"journal":{"name":"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)","volume":"1 1","pages":"434-439"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th IEEE International Workshop on Advanced Motion Control (AMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2014.6823321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to solve the issue of the paraplegias and upper limb disabilities to operate electronic devices, a barrier-free human-computer interaction (HCI) method based on electromyography (EMG) and gyroscopes was researched in this paper. After the analysis and test, the EMG signals of temporal muscle were selected as the control source. To bite as a trigger action, depending on different tooth movements, temporal muscles produce different characteristics of EMG signals, so that to control equipment for different functions. Using the output signal of gyro on the head, the information for head rotation can be obtained, and the equipment can be controlled to achieve the appropriate spatial displacement and positioning. Experiments show that, using this method, the user can easily achieve human-computer interaction by bite and slight head movements. It has good application prospects.