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MotionSynthesis toolset (MoST): a toolset for human motion data synthesis and validation

Authors:

Terrell R. Bennett,

Claudio Savaglio,

Roozbeh JafariAuthors Info & Claims

MobileHealth '14: Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare

Pages 25 - 30

https://doi.org/10.1145/2633651.2637472

Published: 11 August 2014 Publication History

Abstract

Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop the new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a sequence of movements (i.e. a diary), synthesize a data stream using real sensor data, visualize, and validate the sequence of movements and data with video and waveforms.

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Cited By

Aloi GFrustaci FGravina RGuerrieri APio GSavaglio C(2025)COCOWEARS: A framework for COntinuum COmputing WEARable SystemsProcedia Computer Science10.1016/j.procs.2025.01.214253(1525-1534)Online publication date: 2025
https://doi.org/10.1016/j.procs.2025.01.214
Rghioui ALloret JOumnad A(2022)Big Data Classification and Internet of Things in HealthcareResearch Anthology on Big Data Analytics, Architectures, and Applications10.4018/978-1-6684-3662-2.ch071(1458-1476)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3662-2.ch071
Zeng YZhou PWang CLiu JYang Y(2022)Economical Behavior Modeling and Analyses for Data Collection in Edge Internet of Things NetworksACM Transactions on Sensor Networks10.1145/353209219:2(1-27)Online publication date: 20-Dec-2022
https://dl.acm.org/doi/10.1145/3532092
Show More Cited By

Index Terms

MotionSynthesis toolset (MoST): a toolset for human motion data synthesis and validation
1. Applied computing
  1. Physical sciences and engineering
    1. Engineering

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Information & Contributors

Information

Published In

cover image ACM Conferences

MobileHealth '14: Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare

August 2014

62 pages

ISBN:9781450329835

DOI:10.1145/2633651

General Chairs:
Emmanuel Baccelli
INRIA, Paris, France
,
Roozbeh Jafari
University of Texas at Dallas, USA
,
Rahul Mangharam
University of Pennsylvania, USA
,
Rong Zheng
McMaster University, Canada

Copyright © 2014 ACM.

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]

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 August 2014

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MobiHoc'14

Sponsor:

SIGMOBILE

MobiHoc'14: The Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

August 11, 2014

Pennsylvania, Philadelphia, USA

Acceptance Rates

MobileHealth '14 Paper Acceptance Rate 6 of 9 submissions, 67%;

Overall Acceptance Rate 15 of 25 submissions, 60%

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Cited By

Aloi GFrustaci FGravina RGuerrieri APio GSavaglio C(2025)COCOWEARS: A framework for COntinuum COmputing WEARable SystemsProcedia Computer Science10.1016/j.procs.2025.01.214253(1525-1534)Online publication date: 2025
https://doi.org/10.1016/j.procs.2025.01.214
Rghioui ALloret JOumnad A(2022)Big Data Classification and Internet of Things in HealthcareResearch Anthology on Big Data Analytics, Architectures, and Applications10.4018/978-1-6684-3662-2.ch071(1458-1476)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3662-2.ch071
Zeng YZhou PWang CLiu JYang Y(2022)Economical Behavior Modeling and Analyses for Data Collection in Edge Internet of Things NetworksACM Transactions on Sensor Networks10.1145/353209219:2(1-27)Online publication date: 20-Dec-2022
https://dl.acm.org/doi/10.1145/3532092
Tang JPang YWang HLi YSun F(2022)Wearable IMU Based Gait Quality Quantitative Evaluation Method2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927906(1-7)Online publication date: 12-Sep-2022
https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927906
Hurley NSpatz EKrumholz HJafari RMortazavi B(2021)A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular DisordersACM Transactions on Computing for Healthcare10.1145/34179582:1(1-42)Online publication date: 22-Jan-2021
https://doi.org/10.1145/3417958
Alimorad NMaadani MMahdavi M(2021)REO: A Reliable and Energy Efficient Optimization Algorithm for Beacon-Enabled 802.15.4–Based Wireless Body Area NetworksIEEE Sensors Journal10.1109/JSEN.2021.309176821:17(19623-19630)Online publication date: 1-Sep-2021
https://doi.org/10.1109/JSEN.2021.3091768
Mohsen SZekry AYoussef KAbouelatta M(2021)On Architecture of Self-Sustainable Wearable Sensor Node for IoT Healthcare ApplicationsWireless Personal Communications10.1007/s11277-021-08229-1Online publication date: 19-Feb-2021
https://doi.org/10.1007/s11277-021-08229-1
Rghioui ALloret JOumnad A(2020)Big Data Classification and Internet of Things in HealthcareInternational Journal of E-Health and Medical Communications10.4018/IJEHMC.202004010211:2(20-37)Online publication date: 1-Apr-2020
https://dl.acm.org/doi/10.4018/IJEHMC.2020040102
Kong P(2020)Cellular-Assisted Device-to-Device Communications for Healthcare Monitoring Wireless Body Area NetworksIEEE Sensors Journal10.1109/JSEN.2020.300172720:21(13139-13149)Online publication date: 1-Nov-2020
https://doi.org/10.1109/JSEN.2020.3001727
Yang MHara-Azumi Y(2020)Implementation of Lightweight eHealth Applications on a Low-Power Embedded ProcessorIEEE Access10.1109/ACCESS.2020.30069018(121724-121732)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3006901
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