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Investigators from Texas Technical University Report New Data on Biomedicine and Biomedical Engineering (Feature Selection and Activity Recognition...

July 23, 2014



Investigators from Texas Technical University Report New Data on Biomedicine and Biomedical Engineering (Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer)

By a News Reporter-Staff News Editor at Biotech Week -- Current study results on Biotechnology have been published. According to news reporting originating in Lubbock, Texas, by NewsRx journalists, research stated, "Activity recognition is required in various applications such as medical monitoring and rehabilitation. Previously developed activity recognition systems utilizing triaxial accelerometers have provided mixed results, with subject-to-subject variability."

The news reporters obtained a quote from the research from Texas Technical University, "This paper presents an accurate activity recognition system utilizing a body worn wireless accelerometer, to be used in the real-life application of patient monitoring. The algorithm utilizes data from a single, waist-mounted triaxial accelerometer to classify gait events into six daily living activities and transitional events. The accelerometer can be worn at any location around the circumference of the waist, thereby reducing user training. Feature selection is performed using Relief-F and sequential forward floating search (SFFS) from a range of previously published features, as well as new features introduced in this paper. Relevant and robust features that are insensitive to the positioning of accelerometer around the waist are selected. SFFS selected almost half the number of features in comparison to Relief-F and provided higher accuracy than Relief-F. Activity classification is performed using Naive Bayes and k-nearest neighbor (k-NN) and the results are compared. Activity recognition results on seven subjects with leave-one-person-out error estimates show an overall accuracy of about 98% for both the classifiers."

According to the news reporters, the research concluded: "Accuracy for each of the individual activity is also more than 95%."

For more information on this research see: Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer. IEEE Transactions on Biomedical Engineering, 2014;61(6):1780-1786. IEEE Transactions on Biomedical Engineering can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Biomedical Engineering - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10)

Our news correspondents report that additional information may be obtained by contacting P. Gupta, Texas Technical University, Dept. of Elect & Comp Engn, Lubbock, TX 79409, United States (see also Biotechnology).

Keywords for this news article include: Biotechnology, Texas, Lubbock, United States, North and Central America

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Biotech Week


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