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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Detection and evaluation of physical therapy exercises by dynamic time warping using wearable motion sensor units

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      Author
      Yurtman, Aras
      Barshan, Billur
      Date
      2014
      Source Title
      Lecture Notes in Electrical Engineering
      Print ISSN
      1876-1100
      Publisher
      Springer
      Volume
      264
      Pages
      305 - 314
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We develop an autonomous system that detects and evaluates physical therapy exercises using wearable motion sensors. We propose an algorithm that detects all the occurrences of one or more template signals (representing exercise movements) in a long signal acquired during a physical therapy session. In matching the signals, the algorithm allows some distortion in time, based on dynamic time warping (DTW). The algorithm classifies the executions in one of the exercises and evaluates them as correct/incorrect, giving the error type if there is any. It also provides a quantitative measure of similarity between each matched execution and its template. To evaluate the performance of the algorithm in physical therapy, a dataset consisting of one template execution and ten test executions of each of the three execution types of eight exercises performed by five subjects is recorded, having a total of 120 and 1,200 exercise executions in the training and test sets, respectively, as well as many idle time intervals in the test signals. The proposed algorithm detects 1,125 executions in the whole test set. 8.58 % of the 1,200 executions are missed and 4.91 % of the idle time intervals are incorrectly detected as executions. The accuracy is 93.46 % only for exercise classification and 88.65 % for simultaneous exercise and execution type classification. The proposed system may be used for both estimating the intensity of the physical therapy session and evaluating the executions to provide feedback to the patient and the specialist.
      Keywords
      Accelerometer
      Dynamic time warping
      Gyroscope
      Inertial sensors
      Magnetometer
      Motion sensors
      Movement detection
      Pattern recognition
      Pattern search
      Physical therapy
      Physiotherapy
      Subsequence dynamic time warping
      Permalink
      http://hdl.handle.net/11693/27252
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/978-3-319-01604-7_30
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      • Department of Electrical and Electronics Engineering 3597
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