Construction work involves complex, non-repetitive tasks that increase risks of work-related musculoskeletal disorders (WMSDs) and productivity loss. This study presents an integrated evaluation framework combining wearable knee exoskeleton assistance, immersive virtual reality (VR) task scenarios, and synchronized multi-sensor measurements to quantify safety- and performance-related outcomes in construction-like settings. Using a modular stair–ramp–deck platform, twenty-one adults completed multi-task protocols with and without knee exoskeleton assistance in a randomized crossover design while the motion capture system, force plates, electromyography (EMG), inertial measurement units (IMUs), and metabolic sensing recorded biomechanics, stability, and effort. Assistance reduced lower-limb muscular demand and improved postural stability during kneeling and VR precision tasks. User surveys indicated perceived stability gains but highlighted comfort and weight concerns. The framework enables task-relevant, reproducible assessment of safety and productivity in realistic construction environments. All multimodal data and protocols are released to support benchmarking and future task-aware assistance systems.

Construction work involves complex, non-repetitive tasks that increase risks of work-related musculoskeletal disorders (WMSDs) and productivity loss. This study presents an integrated evaluation framework combining wearable knee exoskeleton assistance, immersive virtual reality (VR) task scenarios, and synchronized multi-sensor measurements to quantify safety- and performance-related outcomes in construction-like settings. Using a modular stair–ramp–deck platform, twenty-one adults completed multi-task protocols with and without knee exoskeleton assistance in a randomized crossover design while the motion capture system, force plates, electromyography (EMG), inertial measurement units (IMUs), and metabolic sensing recorded biomechanics, stability, and effort. Assistance reduced lower-limb muscular demand and improved postural stability during kneeling and VR precision tasks. User surveys indicated perceived stability gains but highlighted comfort and weight concerns. The framework enables task-relevant, reproducible assessment of safety and productivity in realistic construction environments. All multimodal data and protocols are released to support benchmarking and future task-aware assistance systems.

Dataset of paper "Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand". A novel dataset containing 3-dimensional motion and biomechanical data from 20 able-bodied adults for locomotion on solid ground and sand are collected and shared. We presented the data collection methods, explained the structure of the open dataset, and reported the sensor data along with the kinematic and kinetic profiles of joint biomechanics in our paper. A comprehensive analysis of human gait and joint stiffness profiles is also presented. The kinematic and kinetic analysis reveals that human walking locomotion on sand shows different ground reaction forces and joint torque profiles compared to those from walking on solid ground. These gait differences reflect that humans adopt motion strategies for yielding terrain conditions like sand. The dataset also provides locomotion data for researchers to study human activity recognition and assistive devices for walking on different terrain conditions.

Dataset of paper "Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand". A novel dataset containing 3-dimensional motion and biomechanical data from 20 able-bodied adults for locomotion on solid ground and sand are collected and shared. We presented the data collection methods, explained the structure of the open dataset, and reported the sensor data along with the kinematic and kinetic profiles of joint biomechanics in our paper. A comprehensive analysis of human gait and joint stiffness profiles is also presented. The kinematic and kinetic analysis reveals that human walking locomotion on sand shows different ground reaction forces and joint torque profiles compared to those from walking on solid ground. These gait differences reflect that humans adopt motion strategies for yielding terrain conditions like sand. The dataset also provides locomotion data for researchers to study human activity recognition and assistive devices for walking on different terrain conditions.

Dataset of paper "Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand". A novel dataset containing 3-dimensional motion and biomechanical data from 20 able-bodied adults for locomotion on solid ground and sand are collected and shared. We presented the data collection methods, explained the structure of the open dataset, and reported the sensor data along with the kinematic and kinetic profiles of joint biomechanics in our paper. A comprehensive analysis of human gait and joint stiffness profiles is also presented. The kinematic and kinetic analysis reveals that human walking locomotion on sand shows different ground reaction forces and joint torque profiles compared to those from walking on solid ground. These gait differences reflect that humans adopt motion strategies for yielding terrain conditions like sand. The dataset also provides locomotion data for researchers to study human activity recognition and assistive devices for walking on different terrain conditions.