FR

CamAngel - Technologies for objectively assessing neurological patients during activities of daily living

Ingénierie et Architecture

Machine learning-based processing of egocentric vision and wearable device signals to objectively assess the patients’ upper limbs actual function in free-living along their rehabilitation process.

Brain injuries are common and can have serious consequences, including physical impairment. Rehabilitation is important to help people regain as much function and independence as possible. The aim of this project is to develop a system capable of objectively assessing the quality of movement and motor skills of people suffering from upper limb impairment.

The system uses egocentric vision, wearable sensors and machine learning algorithms to monitor people's upper limbs, while performing activities of daily living. The system has been designed to assess motor performance during rehabilitation, helping clinicians to monitor progress and provide more effective feedback to patients. The system will also be able to provide contextual information about the patient's upper limb function, such as what activities they were doing and what objects they were interacting with.

This information will help clinicians to better understand the patient's needs and develop more personalized rehabilitation plans. Overall, the goal of this project is to develop a system that can complement conventional clinical assessment and provide new insights into the rehabilitation process for people with upper limb injuries.