Search Results

Vehicle motions can adversely affect the ability of a driver or occupant to quickly and accurately push control buttons located in many advanced vehicle control, navigation and communications systems. A pilot study was conducted using the U.S. Army Tank Automotive and Armaments Command (TACOM) Ride Motion Simulator (RMS) to assess the effects of vertical ride motion on the kinematics of reaching. The RMS was programmed to produce 0.5 g and 0.8 g peak-to-peak sinusoidal inputs at the seat-sitter interface over a range of frequencies. Two participants performed seated reaching tasks to locations typical of in-vehicle controls under static conditions and with single-frequency inputs between 0 and 10 Hz. The participants also held terminal reach postures during 0.5 to 32 Hz sine sweeps. Reach kinematics were recorded using a 10-camera VICON motion capture system. The effects of vertical ride motion on movement time, accuracy, and subjective responses were assessed.

The objectives of this study are to quantify the biomechanical properties of the human neck which govern head and neck dynamic response and to establish the mechanisms responsible for primary aspects of response. Computer simulations with the MVMA 2-D and VOM 3-D occupant dynamics models were performed using head and neck sled input response data from human subjects at the Naval Biodynamics Laboratory for input and comparison. Predicted dynamic response data and preliminary values for biomechanical parameters in a three-dimensional head/neck model capable of accurately simulating response for −X, +Y, and −X+Y sled acceleration vectors are presented. The established analytical model should accurately predict head and neck responses in simulations of real-world automobile crashes where direct head impact is not involved. Additionally, the model can be used to assist in development of a design plan for the neck of advanced anthropomorphic test dummies.

This book presents seven case studies in which digital human models were used to solve different types of physical problems associated with proposed human-machine interaction tasks. This book includes contributions from researchers at Ford, Boeing, DaimlerChrysler, General Motors, the U.S. Air Force, and others.