Head motion is a key determinant of motion comfort and differs substantially from seat motion due to seat and body compliance and dynamic postural stabilization. This paper compares different human body model fidelities to transmit seat accelerations to the head for the assessment of motion comfort through simulations. Six-degree of freedom dynamics were analyzed using frequency response functions derived from an advanced human model (AHM), a computationally efficient human model (EHM) and experimental studies. Simulations of dynamic driving show that human models strongly affected the predicted ride comfort (increased up to a factor 3). Furthermore, they modestly affected sickness using the available filters from the literature and ISO-2631 (increased up to 30%), but more strongly affected sickness predicted by the subjective vertical conflict (SVC) model (increased up to 70%).
Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility Efficiency
Department of Mechanical Engineering（机械工程系）；Department of Electrical Engineering（电气工程系）；National University of Singapore（新加坡国立大学）；Computer Science（计算机科学）；University of Michigan（密歇根大学）
Curiosity-based Robot Navigation under Uncertainty in Crowded Environments
Southern University of Science and Technology（南方科技大学）；Shandong University（山东大学）；Shenzhen Key Laboratory of Robotics Perception and Intelligence（深圳市机器人感知与智能重点实验室）；The Chinese University of Hong Kong（香港中文大学）；Shenzhen Research Institute of The Chinese University of Hong Kong（香港中文大学深圳研究院）
Fabric Pneumatic Artificial Muscle-Based Head-Neck Exosuit: Design, Modeling, and Evaluation
Department of Aerospace and Mechanical Engineering, University of Notre Dame（Notre Dame 大学航空航天与机械工程系）；Faculty of Information Technology and Bionics, Pázmány Péter Catholic University（帕兹曼·佩特天主教大学信息科技与生物医学系）；Department of Mechanical Engineering and Robotics Center, University of Utah（犹他大学机械工程系与机器人中心）
