Rehabilitation exercise game model for post-stroke using Microsoft Kinect camera

Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls

“…In other research, a Kinect sensor was paired with inertial sensors attached to eating utensils for the purpose of tracking movements of interest to therapists (Hondori, Khademi, & Lopes, 2012). In addition, rehabilitation exercise games using the Kinect sensor are under development for use in the home setting (Shapi’i, Bahari, Arshad, Zin, & Mahayuddin, 2015). Although this research demonstrates a variety of clinical uses for the Kinect sensor, our research has advanced smart home technology by real-world operation of the Kinect sensor in older adults’ residences.…”

Pattern Recognition of Human Postures Using the Data Density Functional Method

“…Prospective experimental schemes and research in recent years has focused on the interpretations between physiological and functional expressions in terms of biomedical signals from heart rate variations, brainwave monitoring, respiration rates, and so forth [3][4][5][6]. Additionally, several methods of rehabilitation based on statistical learnings have also fulfilled fruitful performances for the recovery of human activities damaged by injury or known diseases, such as heart failure [7], stroke [8][9][10][11], Parkinson's disease [12] and osteoporosis [13]. Among these applications, the hardware schemes of data acquirement commonly utilized wireless sensors [14][15][16][17], personal portable devices [9, 16,18], robotic assistance [19][20][21][22], or other commercial equipment [1,23,24].…”

“…Among these applications, the hardware schemes of data acquirement commonly utilized wireless sensors [14][15][16][17], personal portable devices [9, 16,18], robotic assistance [19][20][21][22], or other commercial equipment [1,23,24]. The acquired results were then fed into relevant image-or video-based techniques [10][11][12]17,21,25,26] for further human posture recognitions.…”

“…Informative feature extractions mainly rely on the support vector machine [27,33], K-means clustering algorithm [33,34], or linear discriminant analysis [35], whereas the hidden Markov model was commonly used for human activity recognition [22,31,33,34]. To further increase the accuracy of posture recognition in both industry and academia, the image and inertial sensor fusion is a popular technique, performed by commercial equipment, the Microsoft Kinect [1,10,11,23]. Based on the proposed experimental schemes, the approaches could be categorized as the skeleton-joint-based approach [1,17,24,[28][29][30][31][32] and the silhouette-based approach [23,36].…”

“…Based on the proposed experimental schemes, the approaches could be categorized as the skeleton-joint-based approach [1,17,24,[28][29][30][31][32] and the silhouette-based approach [23,36]. Further combining the technique of virtual reality, these approaches can provide an alternative [10][11][12] for guiding correct motions in rehabilitation and can simultaneously motivate the psychological emotions of users. Although the accuracy of activity recognition can be significantly increased by adding the number of sensors set up on the skeleton points, high-budget apparatus and complex hardware structures might reduce the acceptance from users.…”