Demo: Drumming Application Using Commodity Wearable Devices

被引:0
|
作者
Dwivedi, Bharat [1 ]
Misra, Archan [1 ]
Lee, Youngki [1 ]
机构
[1] Singapore Management Univ, Singapore, Singapore
关键词
SmartPhone; smart watch; Hidden Markov Model(HMM);
D O I
10.1145/2938559.2938586
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We aim to develop a drumming application in which individual can play drums using multiple wearable and mobile devices. Our vision is to tap out different rythms in the air using smart watches as a virtual drum stick and smart phone would act as a drum kit. Same user interface can be visualized in smart glasses. Here, our prime target is to use multiple commodity wearable devices (non-commodity i.e. Myo arm band) and smart phones for recognizing new (or same type of here) types of multi limb gestural context and building an adaptive application interface and allow such gesture recognition and interface to be easily integrated into a new multi device applications. We describe our initial exploration of our aim in multi wrist gesture recognition. We have designed and modified the traditional HMM [2] and discussed the problems faced in multi device interaction. We explore how same type of tapping gestures in drumming context gives the technical challenges and discuss the problems of developing the application and our research direction. The combined multi device ecosystem as a whole can enable not just a variety of new applications but also radically foster new forms of user interaction.
引用
收藏
页码:101 / 101
页数:1
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