Paper Info
Title
Demo: Drumming Application Using Commodity Wearable Devices.
Abstract
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.
Year
DOI
Venue
2016
10.1145/2938559.2938586
MobiSys (Companion Volume)
Keywords
Field
DocType
SmartPhone,smart watch,Hidden Markov Model(HMM)
Computer science,Wearable computer,Gesture,Gesture recognition,Mobile device,Wearable technology,User interface,Hidden Markov model,Smartwatch,Embedded system
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Bharat Dwivedi100.34
Archan Misra21688149.25
Youngki Lee383270.33