科研成果详情

Many patients with amnesiac symptoms have difficulties to recognize people, even relatives' names. This paper aims at building an auxiliary system for patients with memory obstacles, especially for those who have difficulty in recognizing their relatives and close friends. The proposed system can detect the patient's surroundings in real time and use face recognition and voice synthesis techniques to recognize someone's approach to the patient. If the face recognition is achieved, it will notify the patient by text and voice messages, which is saved on cloud server during the training. Based on a novel framework, the system has a good usability and does not require complex human operations. It is friendly to patients. All its functionalities are designed to be automatic and efficient.