A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults

• DOI: 10.1038/s41597-025-04818-y
• Publication Date: 2025-03-30T02:13:18Z
• Authors: Loreen Pogrzeba; Evelyn Muschter; Simon Hanisch; Veronica Y. P. Wa...; Thorsten Strufe; Frank H. P. Fitzek; Shu-Chen Li
• Keywords: Motion Capture; Motion analysis; Match moving

Abstract This dataset (named CeTI-Age-Kinematics ) fills the gap in existing motion capture (MoCap) data by recording kinematics of full-body movements during daily tasks an age-comparative sample with 32 participants two groups: older adults (66–75 years) and younger (19–28 years). The were recorded using sensor suits gloves inertial measurement units (IMUs). features 30 common elemental that are grouped into nine categories, including simulated interactions imaginary objects. Kinematic under well-controlled conditions, repetitions well-documented task procedures variations. It also entails anthropometric body measurements spatial experimental setups to enhance interpretation IMU MoCap relation characteristics situational surroundings. can contribute advancing machine learning, virtual reality, medical applications enabling detailed analyses modeling naturalistic motions their variability across a wide age range. Such technologies essential for developing adaptive systems tele-diagnostics, rehabilitation, robotic planning aim serve broad populations.