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2018
DOI: 10.1007/978-3-319-94334-3_27
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A Real-Time Algorithm for Movement Assessment Using Fuzzy Logic of Hip Arthroplasty Patients

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Cited by 2 publications
(3 citation statements)
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“…The results obtained with the sensor tests include 500 entries for each user, of which 200 corresponded to correct movements and 300 to incorrect movements. According to the proposed fuzzy model illustrated in Figure 5 and the movement detection scheme explained in Reference [29], patients only performed an exercise correctly with the correct corresponding angle 18% of the times, and only 27% performed it at an acceptable speed. During the testing stage, the optimal exercise detection rate obtained was 97.4% with a low false positive percentage of 2.6%.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results obtained with the sensor tests include 500 entries for each user, of which 200 corresponded to correct movements and 300 to incorrect movements. According to the proposed fuzzy model illustrated in Figure 5 and the movement detection scheme explained in Reference [29], patients only performed an exercise correctly with the correct corresponding angle 18% of the times, and only 27% performed it at an acceptable speed. During the testing stage, the optimal exercise detection rate obtained was 97.4% with a low false positive percentage of 2.6%.…”
Section: Resultsmentioning
confidence: 99%
“…This equipment captures the three-dimensional coordinates (X, Y, Z) of the 25 main joints of the human body as show on Figure 1. Information preprocessing was carried out to identify the relevant information, eliminating repeated data as well as noise as presented in Reference [29]. According to a study conducted by Nielsen [30], it is not possible to detect 100% of usability problems.…”
Section: Methodsmentioning
confidence: 99%
“…The study developed by Guevara et al [5] proposes a model of real-time movement detection of patients of rehabilitation from hip surgery. The model applies the fuzzy logic technique to identify correct and incorrect movements in the performance of rehabilitation exercises using the motion capture device called Kinect of Xbox One.…”
Section: Application Of a Diffuse 3d Model For The Detection Of Rehabmentioning
confidence: 99%