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Listen to Your Footsteps: Wearable Device for Measuring Walking Quality

Authors:

Sungjae Hwang,

Junghyeon GimAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2055 - 2060

https://doi.org/10.1145/2702613.2732734

Published: 18 April 2015 Publication History

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Abstract

In this paper, we present a low-cost context-aware technique for determining a user's walking quality. This is achieved by filtering and analyzing the acoustic signal generated when users walk. To extract the acoustic values of footsteps, we implemented a simple wearable device attached on the user's ankle. To verify our approach, we conducted a preliminary test using several pattern classification algorithms. The results show that our system achieves an 89.6% average for three different walking styles (best, good, and bad) and 86.9% for four different real-world ground sets (carpet, asphalt, sand, and wood). We believe that our technique can be applied to existing context-aware techniques as well as various unexplored domains in wearable devices.

References

[1]

Ekimov, A., Sabatier, J. M., Vibration and Sound Signatures of Human Footsteps in Buildings, Journal of the Acoustical Society of America, 2006

Crossref

Google Scholar

[2]

Fitbit Activity Tracker Official Website, http://www.fitbit.com

Google Scholar

[3]

Fulk, G. D., Edgar, S. R., Bierwirth, R., Hart, P., Lopez-Meyer, P., Sazonov, E., Identifying Activity Levels and Steps in People with Stroke using a Novel Shoe-Based Sensor, Journal of Neurologic Physical Therapy, 2012, pp. 100--107.

Crossref

Google Scholar

[4]

Jawbone Up Fitness Tracker Official Website, http://www.jawbone.com

Google Scholar

[5]

Lanagan, J., Smeaton, A. F., Caulfield, B., Utilizing Wearable and Environmental Sensors to Identify the Context of Gait Performance in the Home, In Proc. of DIVERSE, 2011

Google Scholar

[6]

Li, X., Logan, R. J., Pastore, R. E., Perception of acoustic source characteristics: Walking sounds, Journal of the Acoustical Society of America, 1991

Crossref

Google Scholar

[7]

Shad, A., Rodriguez, V. E., Proof of a Shoe-based Human Activity Monitor, In Proc. of EMBS, 2012

Crossref

Google Scholar

[8]

Vandewynckel, J. Otis, M., Bouchard, B., Menelas, B., Bouzouane, A., Towards a Real-time Error Detection within a Smart Home by Using Activity Recognition with a Shoe-mounted Accelerometer, Journal of Procedia Computer Science, 2013, pp. 516--523.

Crossref

Google Scholar

Cited By

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Das RPaul SMourya GKumar NHussain M(2022)Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human GaitFrontiers in Neuroscience10.3389/fnins.2022.85929816Online publication date: 15-Apr-2022
https://doi.org/10.3389/fnins.2022.859298
Mukhopadhyay ANaligala MDuggisetty DChakrabarti ISharad M(2022)Acoustic scene analysis using analog spiking neural networkNeuromorphic Computing and Engineering10.1088/2634-4386/ac90e52:4(044003)Online publication date: 11-Oct-2022
https://doi.org/10.1088/2634-4386/ac90e5
Wang CWang XLong ZYuan JQian YLi J(2016)Estimation of Temporal Gait Parameters Using a Wearable Microphone-Sensor-Based SystemSensors10.3390/s1612216716:12(2167)Online publication date: 17-Dec-2016
https://doi.org/10.3390/s16122167
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Information

Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

Acceptance Rates

CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Das RPaul SMourya GKumar NHussain M(2022)Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human GaitFrontiers in Neuroscience10.3389/fnins.2022.85929816Online publication date: 15-Apr-2022
https://doi.org/10.3389/fnins.2022.859298
Mukhopadhyay ANaligala MDuggisetty DChakrabarti ISharad M(2022)Acoustic scene analysis using analog spiking neural networkNeuromorphic Computing and Engineering10.1088/2634-4386/ac90e52:4(044003)Online publication date: 11-Oct-2022
https://doi.org/10.1088/2634-4386/ac90e5
Wang CWang XLong ZYuan JQian YLi J(2016)Estimation of Temporal Gait Parameters Using a Wearable Microphone-Sensor-Based SystemSensors10.3390/s1612216716:12(2167)Online publication date: 17-Dec-2016
https://doi.org/10.3390/s16122167
Resendiz AOdicho DGabrielian VNahapetian A(2016)Edemeter: Wearable and continuous fluid retention monitoring2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)10.1109/BSN.2016.7516251(153-158)Online publication date: Jun-2016
https://doi.org/10.1109/BSN.2016.7516251

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Towards a 3D passive dynamic walker to study ankle and toe functions during walking motion

A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot

Ankle-knee prosthesis with active ankle and energy transfer

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