Description

A project that aims at co-designing prototypes to improve the traditional form of reminiscence therapy for persons with dementia (PWD) by adding immersive, customizable and interactive virtual reality (VR) experiences. Reminiscence therapy is a multi-sensory treatment that uses a combination of sight, touch, taste, smell and sound to help PWD to remember events, people and places from the past, which can facilitate better understanding and management of responsive behaviours.

Responsibilites

• Development and testing of facial tracking and emotion recognition software for useon patients in dementia care units
• Gained experience with the Unity engine, the OpenCV computer vision library and the Tensorflow Keras machine learning library
• Made a user experience evaluation app that does not store any personal patient information for use in tandem with a VR reminiscence therapy treatment