Опубликована: Сен. 15, 2024
Язык: Английский
Опубликована: Сен. 15, 2024
Язык: Английский
Опубликована: Март 8, 2025
Язык: Английский
Процитировано
0Scientific Data, Год журнала: 2025, Номер 12(1)
Опубликована: Март 29, 2025
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.
Язык: Английский
Процитировано
02022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Год журнала: 2025, Номер unknown, С. 291 - 294
Опубликована: Март 8, 2025
Язык: Английский
Процитировано
0Опубликована: Сен. 15, 2024
Язык: Английский
Процитировано
0