NDLI: Human activity recognition using inertial sensors with invariance to sensor orientation

Content Provider	IEEE Xplore Digital Library
Author	Florentino-Liano, B. O'Mahony, N. Artes-Rodriguez, A.
Copyright Year	2012
Description	Author affiliation: Department of Signal and Communications Theory, Universidad Carlos III de Madrid, Avenida de la Universidad, 30, Leganés, 28911, Spain (Florentino-Liano, B.; O'Mahony, N.; Artes-Rodriguez, A.)
Abstract	This work deals with the task of human daily activity recognition using miniature inertial sensors. The proposed method reduces sensitivity to the position and orientation of the sensor on the body, which is inherent in traditional methods, by transforming the observed signals to a “virtual” sensor orientation. By means of this computationally low-cost transform, the inputs to the classification algorithm are made invariant to sensor orientation, despite the signals being recorded from arbitrary sensor placements. Classification results show that improved performance, in terms of both precision and recall, is achieved with the transformed signals, relative to classification using raw sensor signals, and the algorithm performs competitively compared to the state-of-the-art. Activity recognition using data from a sensor with completely unknown orientation is shown to perform very well over a long term recording in a real-life setting.
Starting Page	1
Ending Page	6
File Size	2275906
Page Count	6
File Format	PDF
ISBN	9781467318778
e-ISBN	9781467318785
DOI	10.1109/CIP.2012.6232914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-28
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Legged locomotion Training Hidden Markov models Sensors Gyroscopes Acceleration
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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