NDLI: A single tri-axial accelerometer-based real-time personal life log system capable of activity classification and exercise information generation

Content Provider	IEEE Xplore Digital Library
Author	Myong-Woo Lee Khan, A.M. Ji-Hwan Kim Young-Sun Cho Tae-Seong Kim
Copyright Year	2010
Description	Author affiliation: Department of Biomedical Engineering, Kyung Hee University, Yongin, Gyeonggi, Republic of Korea (Myong-Woo Lee; Ji-Hwan Kim; Young-Sun Cho; Tae-Seong Kim) \|\| Department of Computer Science, Kyung Hee University, Yongin, Gyeonggi, Republic of Korea (Khan, A.M.)
Abstract	Recording a personal life log (PLL) of daily activities is an emerging technology for u-lifecare and e-health services. In this paper, we present an accelerometer-based personal life log system capable of human activity classification and exercise information generation. In our system, we use a tri-axial accelerometer and a real-time activity recognition scheme in which a set of augmented features of accelerometer signals, processed with Linear Discriminant Analysis (LDA), is classified by our hierarchical artificial neural network classifier: in the lower level of the classifier, a state of an activity is recognized based on the statistical and spectral features; in the upper level, an activity is recognized with a set of augmented features including autoregressive (AR) coefficients, signal magnitude area (SMA), and tilt angles (TA). Upon the recognition of each activity, we further estimate exercise information such as energy expenditure based on Metabolic Equivalents (METS), step count, walking distance, walking speed, activity duration, etc. Our PLL system functions in real-time and all information generated from our system is archived in a daily-log database. By testing our system on seven different daily activities, we have obtained an average accuracy of 84.8% in activity recognition and generated their relative exercise information.
Starting Page	1390
Ending Page	1393
File Size	1198862
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Legged locomotion Real time systems Phase locked loops Sensors Accuracy Humans
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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