{"title":"Natural Wristband: How much we can feel","authors":"Wanna Zhang, W. Luo, Feng Wang","doi":"10.23919/CHICC.2018.8483172","DOIUrl":null,"url":null,"abstract":"With the rapid development of mobile computing, wearable wrist-worn has become more and more popular, but the current vibrotactile feedback patterns of most wrist-worn devices are too simple to enable effective interaction in nonvisual scenarios. In this paper, we propose the Dancing wristband prototype system, which provides multiple vibration patterns for users to recognize multi-semantic information in eyes-free scenarios easily. With four vibrating motors placed in different positions in the wristband, Dancing wristband can produce five vibration patterns(positional vibration: up and down; diagonal vibration: horizontal; circular vibration (four motors vibrate four times sequentially in a ring); and total vibration (all motors vibrate simultaneously at once)). According to the lab experimental results, users can distinguish the five patterns with the rate of over 75%, which proves that these five vibration patterns can be used to output multi-semantic information. The system can be applied to eyes-free interaction scenarios for wrist-worn devices.","PeriodicalId":158442,"journal":{"name":"2018 37th Chinese Control Conference (CCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 37th Chinese Control Conference (CCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CHICC.2018.8483172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of mobile computing, wearable wrist-worn has become more and more popular, but the current vibrotactile feedback patterns of most wrist-worn devices are too simple to enable effective interaction in nonvisual scenarios. In this paper, we propose the Dancing wristband prototype system, which provides multiple vibration patterns for users to recognize multi-semantic information in eyes-free scenarios easily. With four vibrating motors placed in different positions in the wristband, Dancing wristband can produce five vibration patterns(positional vibration: up and down; diagonal vibration: horizontal; circular vibration (four motors vibrate four times sequentially in a ring); and total vibration (all motors vibrate simultaneously at once)). According to the lab experimental results, users can distinguish the five patterns with the rate of over 75%, which proves that these five vibration patterns can be used to output multi-semantic information. The system can be applied to eyes-free interaction scenarios for wrist-worn devices.