research-article

A hierarchical approach to recognize purposeful movements using inertial sensors: preliminary experiments and results

Authors:

Carme Zambrana,

Sebastian Idelsohn-Zielonka,

Mireia Claramunt-Molet,

Maria Almenara-Masbernat,

Josep Maria Tormos,

Felip Miralles,

Eloisa VargiuAuthors Info & Claims

PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 335 - 341

https://doi.org/10.1145/3154862.3154932

Published: 23 May 2017 Publication History

Abstract

One of the most relevant post-stroke conditions is the hemiparesis, which causes muscle weakness and/or the inability to move one side of the body. Physical and occupational therapy plays an important role in the rehabilitation of patients suffering this condition. On the other hand, daily life use of the impaired arm is crucial for improving and also assessing the evolution of the patient. Currently, this assessment is done through self-questionnaires and interviews, which are subjective and depend on the memory of the patient. In this paper, a hierarchical automatic approach aimed at recognizing purposeful arm movements during patients' daily life activities is presented. This approach relies on two-levels: the former is aimed at distinguishing between arm movement and non-movement; whereas the latter is devoted to recognize between purposeful and non-purposeful movements. In particular, in the first version of the system, we consider arms swing while walking as non-purposeful movement. Experiments have been performed in the lab with 9 healthy volunteers wearing a wristband on each wrist. Six activities have been performed: eating, pouring water, drinking, brushing their teeth, folding a towel, and walking. The proposed approach achieves promising performances, recognizing purposeful movement with an accuracy of 0.91 and an F1-score of 0.87.

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Cited By

Meng LZhang AChen CWang XJiang XTao LFan JWu XDai CZhang YVanrumste BTamura TChen W(2021)Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied PeopleSensors10.3390/s2103079921:3(799)Online publication date: 26-Jan-2021
https://doi.org/10.3390/s21030799
Herrera-Luna IRechy-Ramirez ERios-Figueroa HMarin-Hernandez A(2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
https://doi.org/10.1109/JSEN.2019.2897083
Zambrana CIdelsohn-Zielonka SClaramunt-Molet MAlmenara-Masbernat MOpisso ETormos JMiralles FVargiu E(2019)Monitoring of upper-limb movements through inertial sensors – Preliminary resultsSmart Health10.1016/j.smhl.2018.07.02713(100059)Online publication date: Aug-2019
https://doi.org/10.1016/j.smhl.2018.07.027

Index Terms

A hierarchical approach to recognize purposeful movements using inertial sensors: preliminary experiments and results
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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cover image ACM Other conferences

PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2017

503 pages

ISBN:9781450363631

DOI:10.1145/3154862

General Chairs:
Nuria Oliver
Vodafone, Data-Pop Alliance
,
Mary Czerwinski
Visualization and Interaction (VIBE) Research Group

Copyright © 2017 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]

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Publication History

Published: 23 May 2017

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PervasiveHealth '17

PervasiveHealth '17: 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 23 - 26, 2017

Barcelona, Spain

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Cited By

Meng LZhang AChen CWang XJiang XTao LFan JWu XDai CZhang YVanrumste BTamura TChen W(2021)Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied PeopleSensors10.3390/s2103079921:3(799)Online publication date: 26-Jan-2021
https://doi.org/10.3390/s21030799
Herrera-Luna IRechy-Ramirez ERios-Figueroa HMarin-Hernandez A(2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
https://doi.org/10.1109/JSEN.2019.2897083
Zambrana CIdelsohn-Zielonka SClaramunt-Molet MAlmenara-Masbernat MOpisso ETormos JMiralles FVargiu E(2019)Monitoring of upper-limb movements through inertial sensors – Preliminary resultsSmart Health10.1016/j.smhl.2018.07.02713(100059)Online publication date: Aug-2019
https://doi.org/10.1016/j.smhl.2018.07.027

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