Pre-consultation help necessity detection based on gait recognition

Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect

“…Recent studies [25,26] indicate that the MS Kinect has the potential to be an inexpensive device for following, with some limitations, movement features and for analyzing the movement symptoms of individuals with gait disorders and Parkinson's disease. Data processing can result in the discrimination of gait patterns, movements of joints, and analysis of gait speed [12] as features characteristic for normal and pathological gait.…”

Análisis automático del patrón de la marcha mediante visión por computador: problemas, métodos y aplicaciones

“…They were involved in a 1-NN classification process, which led to a recognition performance of 97.2%. Finally, a Kinect-based system to detect gait impairment is exploited by Raheja et al [73] to find out whether a person who comes to a hospital needs urgent assistance or not. The underlying hypothesis is that gait impairment is strongly related to the presence of diseases.…”

“…However, the last decade has witnessed a growing interest in clinical applications of gait assessment such as rehabilitation [24], medical diagnosis [75], and detection of medical emergencies in hospital environments [73]. These results are supported by different sensors for extracting gait data, including wearable gadgets (e.g., gyroscopes, accelerometers) [9,79] and vision-based devices (e.g., Microsoft Kinect, RGB cameras) [73,75,86,114]. Sensors in the first group acquire accurate information, although they can be deemed intrusive since they are usually attached to joints, thus causing discomfort to patients.…”