The CeTI-Age-Kinematics dataset: A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults
The CeTI-Age-Kinematics dataset provides full-body movements from 30 common daily tasks in nine categories, e.g., targeted reaching, lifting and walking tasks, and of multiple object interactions. Kinematic data were recorded at Dresden University of Technology (Germany) with informed consent of the participants under well-controlled conditions, covering multiple motion repetitions and task variations. The tasks were performed by 32 participants covering a wider age range, including older adults (66-75 years) and younger adults (19-28 years). Data were recorded using sensor suits and gloves with inertial measurement units (Rokoko Electronics, Denmark), with utilizing 33 sensors in total for full-body, wrist, and finger movements. The dataset also entails anthropometric body measurements and further demographic data. Additionally, the dataset provides spatial measurements of the experimental setups to enhance the interpretation of the kinematic data in relation to body characteristics and situational surroundings.
The data records are structured according to the Motion-BIDS standard, with (i) meta-files describing the participants' characteristics such as demographic, anthropomorphic, and other data (see participant[.json|.tsv] files); (ii) metadata and additional information on the dataset (see dataset_description.json, README.md); (iii) TSV and BVH data that contain the kinematic motion data for each movement task, along with metadata on the task descriptions and instructions, (iv) source code to process and visualize the data, (v) materials that document the acquisition process such as recording protocols and exemplary videos of the motion executions.
Detailed information, visualizations of the dataset content, and explanations of algorithmic approaches are available in the linked supplements, such as in the data descriptor and supplementary information accessible here: Pogrzeba, L., Muschter, E., Hanisch, S. et al. (2025). A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults. Scientific Data, 12, 531. https://doi.org/10.1038/s41597-025-04818-y
