Hang-Time HAR

Hang-Time HAR是首个公开的基于传感器篮球活动数据集，由24名来自美国和德国的球员在训练和比赛中佩戴腕戴式惯性传感器记录。该数据集包含了10种篮球活动，涵盖了关键的篮球动作，如运球、投篮和传球等。数据集通过在不同国家记录，体现了文化差异对比赛规则和风格的影响，同时参与者在篮球经验上也存在异质性。此外，数据集还包含了预热、训练和比赛三个不同类型的会话，提供了控制和非控制环境下的数据，适用于评估和开发用于比赛分析、指导训练和个人体能活动跟踪的应用系统。

Hang-Time HAR is the first publicly available sensor-based basketball activity dataset. It was collected by 24 players from the United States and Germany, who wore wrist-worn inertial sensors during both training sessions and official games. The dataset covers 10 categories of basketball activities, including core motions such as dribbling, shooting, and passing. Recorded across two different countries, it reflects the influence of cultural disparities on basketball game rules and playing styles, while also accounting for the heterogeneity in the basketball experience levels of the participating players. Furthermore, the dataset contains three distinct types of sessions: warm-up, training, and competition, providing data from both controlled and uncontrolled environments. This makes it suitable for evaluating and developing application systems for game analysis, training guidance, and individual physical activity tracking.

搜集汇总

背景与挑战

背景概述

Hang-Time HAR是首个公开的基于传感器的篮球活动数据集，由24名来自美国和德国的球员在训练和比赛中佩戴腕戴式惯性传感器记录，包含10种关键篮球动作如运球、投篮和传球。该数据集体现了文化差异和球员经验异质性，并提供了预热、训练和比赛三种会话类型的数据，适用于比赛分析、训练指导和个人体能跟踪等应用开发。