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Wearable-based Human-Computer Interaction with LimbMotion

Authors:

Yi Gao,

Yuefang JiangAuthors Info & Claims

SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

Pages 339 - 340

https://doi.org/10.1145/3274783.3275172

Published: 04 November 2018 Publication History

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Abstract

LimbMotion is a limb tracking system which enables accurate and real-time tracking with one wearable device on the wrist/ankle of a user. By integrating inertial sensing and acoustic sensing, LimbMotion significantly reduces the search space of a moving limb, and provides accurate limb tracking for further human computer interaction (HCI). Objectives of this demo are to show how LimbMotion works and two HCI applications supported by LimbMotion.

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Das SAwasthi SP ADe PChakraborty SMitra B(2022)SmartWatch for Wall Writing: Real-time Transcription of Wall Writing from Inertial Sensing2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS53615.2022.9668531(675-683)Online publication date: 4-Jan-2022
https://doi.org/10.1109/COMSNETS53615.2022.9668531
Mehmood AKhan ZVianto AIhalainen TVirkki J(2021)Passive RFID-based Intelligent Gloves for Alternative and Assistive Communication - A Preliminary Study2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)10.1109/APS/URSI47566.2021.9704729(395-396)Online publication date: 4-Dec-2021
https://doi.org/10.1109/APS/URSI47566.2021.9704729

Index Terms

Wearable-based Human-Computer Interaction with LimbMotion
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
      1. Gestural input
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Mobile devices

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SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems

November 2018

449 pages

ISBN:9781450359528

DOI:10.1145/3274783

Editors:
Gowri Sankar Ramachandran
University of Southern California, Los Angeles
,
Bhaskar Krishnamachari
University of Southern California, Los Angeles

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 04 November 2018

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National Science Foundation of China
Fundamental Research Funds for the Central Universities

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SenSys '18

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SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems

November 4 - 7, 2018

Shenzhen, China

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Overall Acceptance Rate 174 of 867 submissions, 20%

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The 22nd ACM Conference on Embedded Networked Sensor Systems

November 4 - 7, 2024

Hangzhou , China

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Das SAwasthi SP ADe PChakraborty SMitra B(2022)SmartWatch for Wall Writing: Real-time Transcription of Wall Writing from Inertial Sensing2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS53615.2022.9668531(675-683)Online publication date: 4-Jan-2022
https://doi.org/10.1109/COMSNETS53615.2022.9668531
Mehmood AKhan ZVianto AIhalainen TVirkki J(2021)Passive RFID-based Intelligent Gloves for Alternative and Assistive Communication - A Preliminary Study2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)10.1109/APS/URSI47566.2021.9704729(395-396)Online publication date: 4-Dec-2021
https://doi.org/10.1109/APS/URSI47566.2021.9704729

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LimbMotion: Decimeter-level Limb Tracking for Wearable-based Human-Computer Interaction

Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera

Wearable haptic devices for gait re-education by rhythmic haptic cueing

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LimbMotion: Decimeter-level Limb Tracking for Wearable-based Human-Computer Interaction

Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera

Wearable haptic devices for gait re-education by rhythmic haptic cueing

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