报告人🧖‍♀️：Xingda Qu, PhD. Candidate,Grado Department of Industrial and Systems Engineering, Virginia Tech  
 
报告题目🦎🧑🏼‍🚒：Development of postural control models for lifting motions and balance control    
 
时间🛎：12月20日（星期四）下午4: 00～5: 00  
 
地点👩‍🦳：杏福娱乐开户会议室，舜德楼南529  
 
参加人员：欢迎感兴趣的教师和学生准时参加  
 
报告摘要：

Simulating human motions is a major function and challenge of ergonomic CAD systems.Successful applications of human motion simulation have the ability to improve occupational efficiency, effectiveness, and safety.  However, human postures and motions, particularly those relevant to occupational tasks, have not been well modeled so far.  In this presentation, a novel motion simulation model will be described, based on fuzzy logic control.This model was motivated by the fact that humans use linguistic terms to guide their behaviors, and the ability of fuzzy logic to provide mathematical representations of linguistic terms.  Findings from this study demonstrated that the model was able to accurately predict novel lifting motions and provide indications regarding potential underlying motion planning strategies.

 Falls are one of the most common incidents leading to injuries in both daily activities and occupational settings.  Fall-related injuries have substantial adverse impacts on functional ability and quality of life, and contribute to a substantial economic burden to both workers and employers.  Falls often result from a ‘loss-of-balance’.  Thus, investigating balance control may aid in preventing fall-related incidents.  A balance control model, based on an optimal control strategy, will be presented subsequently.  This model was able to accurately simulate human sway motions during quiet upright stance.  The model is also used to predict effects on balance control caused by individual differences (e.g. aging) and occupational conditions (e.g. localized muscle fatigue and external loads).

 This research, along with the work of other investigators, suggests that human modeling research can be effectively used to investigate the human postural control system, and to aid in better understanding, evaluating, and simulating human performance and capabilities.  As these models continue to improve, they will likely prove useful in a range of occupational and clinical applications.