High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection
| Autor: | Max Mignotte, Didier Ndayikengurukiye |
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| Rok vydání: | 2016 |
| Předmět: |
Pixel
Computer science business.industry Spectral density Ranging 01 natural sciences Gait Signal 010309 optics 03 medical and health sciences 0302 clinical medicine Amplitude Gait analysis 0103 physical sciences Computer vision Artificial intelligence Treadmill business human activities 030217 neurology & neurosurgery |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319415000 ICIAR |
| DOI: | 10.1007/978-3-319-41501-7_5 |
| Popis: | This paper presents a new and simple gait analysis system, from a depth camera placed in front of a subject walking on a treadmill, capable of detecting a healthy gait from an impaired one. Our system relies on the fact that a normal or healthy walk typically exhibits a smooth motion (depth) signal, at each pixel with less high-frequency spectral energy content than an impaired or abnormal walk. Thus, the estimation of a map showing the location and the amplitude of the high-frequency spectral energy (HFSE), for each subject, allows clinicians to visually quantify and localize the different impaired body parts of the patient and to quickly detect a possible disease. Even if the HFSE maps obtained are clearly intuitive for a rapid clinical diagnosis, the proposed system makes an automatic classification between normal gaits and those who are not with success rates ranging from 88.23 % to 92.15 %. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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