Group 1 - The article discusses the development of a new evaluation method called "Assistive Normality" for assessing the interaction quality between exoskeletons and users, particularly for elderly and disabled individuals [3][4]. - The research team from the Shenyang Institute of Automation has created a multidimensional, low-cost quantitative framework that includes gait adaptability, phase deviation weight, and multi-joint coordination to dynamically reflect human-machine interaction performance [3][4]. - The study involved experiments with 8 healthy subjects and 9 hemiplegic patients, demonstrating that the "Assistive Normality" can reveal trends in gait recovery and significant time-varying characteristics of human-machine interaction [4][5]. Group 2 - The proposed evaluation paradigm, termed "Homologous Difference Assessment," utilizes the same exoskeleton system for both healthy individuals and hemiplegic patients, establishing a calibration benchmark based on gait differences between the two groups [4]. - This method aims to enhance the safety, individual adjustment, and clinical deployment of rehabilitation exoskeletons by providing a standardized evaluation approach focused on interaction quality [4][5]. - The research has been supported by the National Natural Science Foundation and the Liaoning Provincial Natural Science Foundation, indicating institutional backing for the advancements in exoskeleton technology [6].
沈阳自动化所在下肢外骨骼交互评估研究方面取得进展
机器人圈·2025-09-18 09:02