文献类型：会议论文

英文题名：PneuShoe: A Pneumatic Smart Shoe for Activity Recognition, Terrain Identification, and Weight Estimation

作者：Gabrecht, Marco Torge[1];Wang, Hengyu[1,2];Matthies, Denys J. C.[3]

机构：[1]Tech Univ Appl Sci Lubeck, Lubeck, Germany;[2]East China Univ Sci & Technol, Shanghai, Peoples R China;[3]Tech Univ Appl Sci Lubeck, Fraunhofer IMTE, Lubeck, Germany

会议论文集：8th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence (IWOAR)

会议日期：SEP 21-22, 2023

会议地点：Lubeck, GERMANY

语种：英文

外文关键词：Human Augmentation; Pressure; Sensor; Terrain; Wearable

摘要：We present a footwear prototype that can detect activities, distinguish terrains, and estimate the user's weight. The insole features two air chambers with pressure sensors and a 6-DOF IMU. A machine learning model, a decision tree was trained to distinguish standing, walking, and running. Further, we can discriminate between differentiate terrains, such as soft sand, asphalt, and grass. Moreover, we showcase how the air pressure sensors can be utilized to provide a weight estimation.