Thesis type:
MSc
Author:
Hugo Miguel Pereira Choupina
Supervisor:
João Paulo Trigueiros da Silva Cunha
Title:
NeuroKinect: Kinect-based System for Motion Analysis and Quantification in Neurological Diseases (available here)
Abstract:
Many neurological diseases, such as Parkinson’s disease (PD) and epilepsy, can significantly affect patients’ motor function, often leading to a dramatic loss of their quality of life. Human motion analysis is undoubtedly regarded as fundamental towards an early diagnosis and an enhanced follow-up in this type of diseases. In this contribution, NeuroKinect, a markerless system for human motion analysis in neurological diseases is presented. This system includes an RGB-D camera (Microsoft Kinect XBOX 360 and Kinect v2 for XBOX One) and two applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer), running in a portable PC, which enable the acquisition, visualization and management of RGB, depth, infrared, body-index and 3D tracking data provided by the sensor. The presented system is a portable, low-cost solution, suitable for use in a clinical environment, which has already been deployed in an Epilepsy Monitoring Unit (in Munich, Germany) and used in multiple healthcare scenarios. In addition, in the Epilepsy scenario, a new tool named KiSA (Kinect Seizure Analyzer) makes use of the RGB-D information from KiT and KiMA to track and quantify uncoordinated seizure movements.
