智能膝套多模态数据集

智能膝套多模态数据集是由不列颠哥伦比亚大学电气与计算机工程系的研究团队创建，专注于通过智能膝套进行3D人体姿态估计。该数据集包含140,000个同步帧，涵盖了来自不同受试者的数据，使用智能膝套和动作捕捉摄像机系统收集。数据集通过融合压力传感器和惯性测量单元（IMU）的数据，实现对人体主要下肢关节的精确姿态估计。该数据集的应用领域广泛，包括家庭健身、体育分析、医疗保健和物理康复，旨在解决人体姿态和运动估计的问题。

The Intelligent Knee Sleeve Multimodal Dataset was developed by a research team from the Department of Electrical and Computer Engineering at the University of British Columbia, focusing on 3D human pose estimation using intelligent knee sleeves. This dataset comprises 140,000 synchronized frames, covering data from a diverse cohort of participants, and was collected via intelligent knee sleeves and a motion capture camera system. It fuses data from pressure sensors and inertial measurement units (IMUs) to enable accurate pose estimation of the body's major lower limb joints. The dataset has broad application scenarios including home fitness, sports analytics, healthcare, and physical rehabilitation, and aims to address core challenges in human pose and motion estimation.