Active fall prevention: robotic vision in AAL
This addresses fall prevention for the elderly, but appears incremental as it builds on existing fall detection systems by adding active risk classification.
The paper tackles the problem of preventing falls in the elderly by developing a system for active detection and classification of fall risks in home environments using a service robot with a vision sensor, resulting in effective task performance and high user safety.
Effective methods of preventing falls significantly improve the quality of life of the Elderly. Nowadays, people focus mainly on the proper provision of the apartment with handrails and fall detection systems once they have occurred. The article presents a~system of active detection and classification of the risk of falls in the home space using a~service robot equipped with a~vision sensor. Hazard classification allows for effective performance of tasks assigned to the robot while maintaining a~high level of user safety.