short-paper

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

Get Access

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.

References

[1]

Kinect. 2013. Kinect V2. https://dev.windows.com/en-us/kinect. (2013).

Google Scholar

[2]

Xinye Lin, Yixin Chen, Xiao-Wen Chang, Xue Liu, and Xiaodong Wang. 2018. SHOW: Smart Handwriting on Watches. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 151:1--151:23.

Digital Library

Google Scholar

[3]

Paweł Maciejasz, Jörg Eschweiler, Kurt Gerlach-Hahn, Arne Jansen-Troy, and Steffen Leonhardt. 2014. A survey on robotic devices for upper limb rehabilitation. Journal of neuroengineering and rehabilitation 11, 1 (2014), 3.

Crossref

Google Scholar

[4]

Microsoft. 2011. Your Shape: Fitness Evolved. http://marketplace.xbox.com/en-GB/Product/Your-Shape-Fitness-Evolved/. (2011).

Google Scholar

[5]

Sheng Shen, He Wang, and Romit Roy Choudhury. 2016. I Am a Smartwatch and I Can Track My User's Arm. In Proceedings of International Conference on Mobile Systems, Applications, and Services (MobiSys). ACM, 85--96.

Digital Library

Google Scholar

Cited By

View all

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

Recommendations

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

Wearable-based human-computer interaction is a promising technology to enable various applications. This paper aims to track the 3D posture of the entire limb, both wrist/ankle and elbow/knee, of a user wearing a smart device. This limb tracking ...
Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera
ISMAR '03: Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality

In this paper, we propose a method of personalpositioning for a wearable Augmented Reality (AR)system that allows a user to freely move around indoorsand outdoors.The user is equipped with self-containedsensors, a wearable camera, an inertial ...
Wearable haptic devices for gait re-education by rhythmic haptic cueing
HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference

This research explores the development and evaluation of wearable haptic devices for gait sensing and rhythmic haptic cueing in the context of gait re-education for people with neurological and neurodegenerative conditions. Many people with long-term ...

Comments

Information & Contributors

Information

Published In

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Funding Sources

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

Conference

SenSys '18

Sponsor:

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

November 4 - 7, 2018

Shenzhen, China

Acceptance Rates

Overall Acceptance Rate 174 of 867 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
232
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)2

Reflects downloads up to 10 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

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

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

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

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

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

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations