Analysis And Modeling Of Fear Emotion For Intelligent Wheelchair Path Planning

With the aging of the population,there are more and more elderly people who have lost their ability to move in the lower limbs due to diseases,accidents and declining motor functions.Their over-reliance on caregivers,improving their own quality of life,and making them better lives is a necessary research direction.Intelligent wheelchairs provide convenience for the elderly and disabled people with disabilities in the legs and feet,enabling them to regain their ability to act autonomously.In order to enable people in wheelchairs to reach their destination safely and comfortably,this thesis proposes a human fear model for intelligent wheelchair path planning so that people in wheelchairs interact with the environment during wheelchair path planning.It is safer and more comfortable.Firstly,this thesis analyzes through experiments how the environmental factors make people’s emotions change when they interact with the environment when the wheelchair is in operation.Thus,the fear of emotions based on the intelligent wheelchair path planning is put forward.Secondly,through the ECG sensor,ECG signal data generated when people in wheelchairs interact with the environment are collected under different environmental factors.Then the wavelet transform method is used to filter the collected data,and the contours of different waveforms are processed to establish a model of people’s fear of emotion.Then,based on the established model of people’s fear of emotion,in the path planning of the intelligent wheelchair,compared with the model without fear of emotion,the path planning of the intelligent wheelchair using the model of people’s fear of emotion makes the wheelchair sit in the running process.People in wheelchairs are safer and more comfortable.