47 Earlier spatial orientation studies used both motion-detection (e.g., did I move?) and direction48 recognition paradigms (e.g., did I move left/right?). The purpose of our study was to compare 49 thresholds measured using motion-detection and direction-recognition tasks on a standard Moog 50 motion platform to see if a substantial fraction of the reported threshold variation might be 51 expl...

BACKGROUND Schizophrenia patients exhibit deficient processing of perceptual and cognitive information. However, it is not well-understood how basic perceptual deficits contribute to higher level cognitive problems in this mental disorder. Perception of biological motion, a motion-based cognitive recognition task, relies on both basic visual motion processing and social cognitive processing, th...

Human motion recognition using wearable sensors is becoming a popular topic in the field of mobile health recently. However, most previous studies haven’t solved the problem of unlabeled motion recognition very well due to the limitation of learning ability of their systems. In this paper, we propose a self-learning based motion recognition scheme for mobile healthcare, in which a patient only ...

Understanding human motion in unconstrained 2D videos has been a central theme in Computer Vision research for decades, and over the years many attempts have been made to design effective representations of video content. In this paper, we apply to gait recognition the Motion Interchange Patterns (MIP) framework, a 3D extension of the LBP descriptors to videos that was successfully employed in ...