Wearable RGB Camera Images of Human Locomotion Environments

The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Approximately 34,254 sampled RGB images were collected and individually labelled.The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.本数据集为RGB图像（RGB）数据集，通过可穿戴相机系统实验采集，经后处理后用于对有助于控制自主式下肢生物机电设备的各类步行环境开展图像分类任务，此类设备包括机器人下肢假肢与外骨骼。本次共采集约34254幅RGB采样图像，并完成了逐幅标注。作者恳请潜在使用者引用以下文献：Laschowski B、McNally W、Wong A及McPhee J.（2019）《用于控制机器人下肢假肢及外骨骼的环境识别系统初步设计》，发表于加拿大多伦多举办的IEEE国际康复机器人学会议。