Technology in Motion Tremor Dataset: TIM-Tremor

Data was collected within the Technology in Motion project (protocol registered as NL54281.058.15), aimed at developing patient friendly and unobtrusive techniques to characterize motor function in patients with neurological disorders. In this context we used video cameras combined with depth sensors (RGB-D sensors, Microsoft KinectTM v2) and 2 accelerometer sensors (ACL300, Biometrics Ltd, Newport, UK) to objectively quantify the frequency and amplitude of tremor of the upper extremity. This dataset contains 55 patient recorded at performing a set of tasks. For each patient and each task, we record a short seqeuence and provide: (i) Kinect RGB video recording, (ii) Kinect depth map recording encoded as a video, (iii) Kinect depth map aligned with the RGB video, (iv) accelerometer recordings of the 2 sensors. We aditionally, provide an overall labeling file containing for each patient: tremor ratings per arm, and tremor diagnosis More detailed description can be found in documentation.

本数据集采集自“动态技术”（Technology in Motion）项目（研究方案注册编号为NL54281.058.15），旨在研发贴合患者需求且无侵入性的技术，用于表征神经系统疾病患者的运动功能。在此研究框架下，我们结合摄像头与RGB-D深度传感器（RGB-D sensor，微软Kinect™ v2）以及2台加速度传感器（ACL300，英国纽波特Biometrics有限公司出品），客观量化上肢震颤的频率与幅度。本数据集包含55名患者完成一系列指定任务时的采集数据。针对每位患者及每项任务，我们均采集了短时序列数据并提供以下内容：(i) Kinect RGB视频录制文件，(ii) 编码为视频格式的Kinect深度图录制文件，(iii) 与RGB视频对齐的Kinect深度图，(iv) 两台加速度传感器的采集数据。此外，我们还提供了综合标注文件，其中包含每位患者的双侧上肢震颤评分及震颤诊断结果。更详细的描述可参阅配套文档。