Environment Recognition and Wearable RGB Camera Images: Applications for Autonomous Lower-Limb Biomechatronic Devices
收藏IEEE2019-02-07 更新2026-04-17 收录
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https://ieee-dataport.org/documents/environment-recognition-and-wearable-rgb-camera-images-applications-autonomous-lower-limb
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资源简介：
This 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). Overall, 34,254 sampled 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.
提供机构：
University of Waterloo
创建时间：
2019-02-07
