Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.
Technische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany.
Sci Data. 2023 Nov 25;10(1):826. doi: 10.1038/s41597-023-02738-3.
The Tactile Internet aims to advance human-human and human-machine interactions that also utilize hand movements in real, digitized, and remote environments. Attention to elderly generations is necessary to make the Tactile Internet age inclusive. We present the first age-representative kinematic database consisting of various hand gesturing and grasping movements at individualized paces, thus capturing naturalistic movements. We make this comprehensive database of kinematic hand movements across the adult lifespan (CeTI-Age-Kinematic-Hand) publicly available to facilitate a deeper understanding of intra-individual-focusing especially on age-related differences-and inter-individual variability in hand kinematics. The core of the database contains participants' hand kinematics recorded with wearable resistive bend sensors, individual static 3D hand models, and all instructional videos used during the data acquisition. Sixty-three participants ranging from age 20 to 80 years performed six repetitions of 40 different naturalistic hand movements at individual paces. This unique database with data recorded from an adult lifespan sample can be used to advance machine-learning approaches in hand kinematic modeling and movement prediction for age-inclusive applications.
触觉互联网旨在推动人类与机器之间的互动,这些互动也利用了真实、数字化和远程环境中的手部动作。为了使触觉互联网时代具有包容性,有必要关注老年群体。我们首次呈现了一个包含各种手势和抓握动作的运动学数据库,这些动作是在个性化的节奏下进行的,从而捕捉到了自然的运动。我们将整个成人寿命范围内的运动学手部运动的综合数据库(CeTI-Age-Kinematic-Hand)公开提供,以促进对个体关注的深入理解,特别是针对与年龄相关的差异和手部运动学的个体间可变性。数据库的核心包含参与者的手部运动学,这些运动学是通过可穿戴电阻弯曲传感器、个体静态 3D 手部模型以及数据采集过程中使用的所有教学视频记录的。63 名年龄在 20 岁至 80 岁之间的参与者以个人的节奏重复进行了 40 种不同的自然手部动作 6 次。这个具有来自成人寿命样本数据的独特数据库可用于推进机器学习方法在手部运动学建模和运动预测中的应用,以实现年龄包容性。