American Sign Language (ASL) Fingerspelling dataset for Myo Sensor

This is the dataset used in the following publication. Please cite this publication if use this dataset: This work was published on the 2017 ACM IUI . @inproceedings{paudyal2016sceptre, title={Sceptre: a pervasive, non-invasive, and programmable gesture recognition technology}, author={Paudyal, Prajwal and Banerjee, Ayan and Gupta, Sandeep KS}, booktitle={Proceedings of the 21st International Conference on Intelligent User Interfaces}, pages={282--293}, year={2016}, organization={ACM} } @inproceedings{paudyal2017dyfav, title={Dyfav: Dynamic feature selection and voting for real-time recognition of fingerspelled alphabet using wearables}, author={Paudyal, Prajwal and Lee, Junghyo and Banerjee, Ayan and Gupta, Sandeep KS}, booktitle={Proceedings of the 22nd International Conference on Intelligent User Interfaces}, pages={457--467}, year={2017}, organization={ACM} } 9 users wore the Myo Armband and data was collected for 5s. for each letter of the alphabet. The first 8 columns contain data for the 8 EMG pods, the next 3 are for Accelerometer, the next 3 are for Gyroscope and the final 3are for Orientation (Roll, Pitch and Yaw)

搜集汇总

背景与挑战

背景概述

该数据集是一个用于Myo传感器的美国手语（ASL）手指拼写数据集，包含9名用户佩戴Myo臂带收集的字母拼写数据，每个字母记录5秒，数据涵盖EMG、加速度计、陀螺仪和方向信息。它主要用于活动识别和美国手语研究，支持手势识别技术的开发，并遵循CC BY 4.0许可。