NDLI: On the sensor choice and data analysis for classification of elementary upper limb movements

Content Provider	IEEE Xplore Digital Library
Author	Biswas, D. Cranny, A. Rahim, A. Gupta, N. Harris, N. Maharatna, K. Ortmann, S.
Copyright Year	2014
Description	Author affiliation: Univ. of Southampton, Southampton, UK (Rahim, A.) \|\| Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK (Biswas, D.; Cranny, A.; Gupta, N.; Harris, N.; Maharatna, K.) \|\| IHP, Leibniz-Inst. for Innovative Microelectron., Frankfurt (Oder), Germany (Ortmann, S.)
Abstract	In this paper we present a systematic exploration for determining the appropriate type of inertial sensor and the associated data processing techniques for classifying four fundamental movements of the upper limb. Our motivation was to explore classification techniques that are of low computational complexity enabling low power processing on body-worn sensor nodes for unhindered operation over a prolonged time. Kinematic data was collected from 18 healthy subjects, repeating 20 trials of each movement, using tri-axial accelerometers and tri-axial rate gyroscopes located near the wrist. Ten time-domain features extracted from data from individual sensor streams, their modulus and specific fused signals, were used to train classifiers based on three learning algorithms: LDA, QDA and SVM. Each classifier was evaluated using a leave-one-subject-out strategy. Our results show that we can correctly identify the four arm movements, with sensitivities in the range of 83-96%, using data from just a tri-axial gyroscope located near the wrist, and requiring only 12 features in combination with the lower complexity LDA learning algorithm.
Sponsorship	IEEE Comput. Soc.
Starting Page	744
Ending Page	747
File Size	487844
Page Count	4
File Format	PDF
ISBN	9781479921317
DOI	10.1109/BHI.2014.6864471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-01
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity Gyroscopes Feature extraction Accelerometers Support vector machines Classification algorithms Monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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