Walking-aid exoskeleton gait event detection system and method based on fuzzy logic

• Main Authors: SONG QIUZHI, ZHOU XINGJIAN, CHAI PEIQI, LIU YUE, LIU YALI
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• Subjects: ARTIFICIAL RESPIRATION; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSESOR SPECIFIC PARTS OF THE BODY; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MASSAGE; MEDICAL OR VETERINARY SCIENCE; PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING ORSTIMULATING REFLEX POINTS IN THE BODY; PHYSICS; SURGERY

The invention relates to a walking-aid exoskeleton gait event detection system and method based on fuzzy logic, and belongs to the technical field of exoskeleton robots. According to the method, the concentration degree is defined by adopting the ratio of the feature range in the total range when a gait event occurs, and the concept of feature importance is defined according to the concentration degree of a single feature relative to all features; according to the method, a fuzzy membership function is introduced, and the probability of mutual matching of regions to which input features belong and the possibility of gait switching events occurring when various regions to which different input features belong are mutually matched are analyzed. 本发明涉及一种基于模糊逻辑的助行外骨骼步态事件检测系统及方法，属于外骨骼机器人技术领域。本发明的方法，采用步态事件发生时的特征范围在总范围内的比值定义集中度，并根据单一特征相对于全部特征的集中度的大小定义特征重要性的概念；本发明的方法引入模糊隶属函数，分析了输入特征所属各区域互相搭配出现的概率和输入不同特征所属各种区域互相搭配时步态切换事件发生的可能性。