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Demo: Drumming Application Using Commodity Wearable Devices

Published: 25 June 2016 Publication History

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.

References

[1]
T. Park, J. Lee, I. Hwang, C. Yoo, L. Nachman, and J. Song. E-gesture: A collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys '11, pages 260--273, New York, NY, USA, 2011. ACM.
[2]
M. A. Vu H. Tran. Magi: Enabling multi device gestural applications. In WristSense2016: 2nd Workshop on Sensing Systems and Applications using Wrist based Smart Devices., percom2016, 2016.

Cited By

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  • (2024)Exploring Drum Percussion Simulation with Gesture Recognition and Smartwatches for Interactive Duets2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00367(2284-2289)Online publication date: 2-Jul-2024
  • (2020)Interaction with Smartwatches Using Gesture Recognition: A Systematic Literature Review2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC48688.2020.00-17(1661-1666)Online publication date: Jul-2020

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  1. Demo: Drumming Application Using Commodity Wearable Devices

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    Published In

    cover image ACM Conferences
    MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion
    June 2016
    172 pages
    ISBN:9781450344166
    DOI:10.1145/2938559
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 25 June 2016

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    Author Tags

    1. hidden markov model(hmm)
    2. smartphone
    3. smartwatch

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    Overall Acceptance Rate 274 of 1,679 submissions, 16%

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    • (2024)Exploring Drum Percussion Simulation with Gesture Recognition and Smartwatches for Interactive Duets2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00367(2284-2289)Online publication date: 2-Jul-2024
    • (2020)Interaction with Smartwatches Using Gesture Recognition: A Systematic Literature Review2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC48688.2020.00-17(1661-1666)Online publication date: Jul-2020

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