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2 results on '"Westwood JD"'

1. A virtual reality platform for assessment and rehabilitation of neglect using a kinect

Author

Cipresso P, Serino S, Elisa Pedroli, Gaggioli A, Riva G, Westwood, JD, Westwood, SW, Felländer-Tsai, L, Fidopiastis, CM, Haluck, RS, Robb, RA, Senger, S, Vosburgh, KG, Cipresso, P, Serino, S, Pedroli, E, Gaggioli, A, and Riva, G

Subjects
NeuroVirtual 3D, Kinect, Rehabilitation, neglect, Neuropsychological Tests, Perceptual Disorders, Stroke, User-Computer Interface, Imaging, Three-Dimensional, virtual reality, Settore M-PSI/01 - PSICOLOGIA GENERALE, Humans, Computer Simulation, M-PSI/01 - PSICOLOGIA GENERALE
Abstract

Unilateral Spatial Neglect (USN) is normally assessed with paper-and-pencil tests. Virtual reality can be an effective neuropsychological tool for a more ecological and functional assessment and rehabilitation of neglect. We developed a 3D Virtual Reality platform - NeuroVirtual 3D - for the assessment and rehabilitation of cognitive deficits, in particular for USN. Within the virtual environments it is possible to interact with virtual objects and execute specific exercises using a Microsoft Kinect. Through the analysis of different grasping tasks it is possible to evaluate in an ecological way the patients' ability to find and handle objects in both sides of the virtual space.

Published
2014

2. A decision support system for real-time stress detection during virtual reality exposure

Author

Gaggioli A, Cipresso P, Serino S, Pioggia G, Gennaro Tartarisco, Baldus G, Corda D, Ferro M, Carbonaro N, Tognetti A, De Rossi D, Giakoumis D, Tzovaras D, Riera A, Riva G, Westwood, JD, Westwood, SW, Felländer-Tsai, L, Fidopiastis, CM, Haluck, RS, Robb, RA, Senger, S, Vosburgh, KG, Gaggioli, A, Cipresso, P, Serino, S, Pioggia, G, Tartarisco, G, Baldus, G, Corda, D, Ferro, M, Carbonaro, N, Tognetti, A, De Rossi, D, Giakoumis, D, Tzovaras, D, Riera, A, and Riva, G

Subjects
education, Biosensors, Virtual Reality, Psychological Stress, Biosensing Techniques, Decision Support System, Decision Support Systems, Clinical, stress, stress detection, User-Computer Interface, Humans, Settore M-PSI/01 - PSICOLOGIA GENERALE, Computer Simulation, M-PSI/01 - PSICOLOGIA GENERALE, Psychological Stre, Stress, Psychological, Biosensor, Psychophysiology
Abstract

Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.

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