DU-ASL-DATA-GLOVE-DB

Hardware The primary hardware is a data glove consisting of three units, namely sensing, processing, and onboard power regulation unit. The sensing unit is comprised of five 2.2" flex sensors (SEN-10264) and an IMU (MPU-6050) which has a triaxial accelerometer and a triaxial gyroscope. Dataset <strong>Overview. </strong>We explored 40 signs from the standard ASL dictionary that including 26 letters and 14 words. Among these signs, 24 require only a certain finger flexion and no hand motion; hence, are addressed as static signs or gestures. Conversely, the remaining 16 signs need hand motion alongside the finger flexion to portray meaningful expression according to the ASL dictionary. Moreover, we collected the signs from 25 subjects (19 Male and 6 Female) in separate data recording sessions with a consistent protocol. Overall, three channels for acceleration in both body and earth axis, three for angular velocity, four for quaternion, and five for flex sensors were recorded in the dataset. The data was recorded by the data glove processing unit which was connected to a laptop for data storage via USB. The sampling frequency is set to 100 Hz and each gesture was repeated 10 times to record the performance variabilities of each subject. However, during a few sessions denoted in the dataset supplementary information, the laptop charger was connected which resulted in AC-induced noise all over those specific recorded data. <br> <strong>Data recording protocol.</strong> Before starting the recording process, each subject signed an approval form for the usage of their data in this research and was briefed about the data recording steps. As the subjects were not familiar with the signs before the study, they were taught each sign before the data recording via online video materials. The data was recorded by the data glove and stored on the laptop at the same time. Hence, a Python script was used on the laptop to make the handshake between the two devices and to store the data in separate folders as per the signs and the subjects. At the beginning of each data recording session, the subjects were prompted to declare their subject id and the gesture name. Afterward, a five-second countdown is prompted on the laptop screen for preparation. Each instance of the gesture data is recorded for a 1.5 seconds window and the subjects can easily perform their gesture once within that window. In a single gesture recording session, this process is repeated 10 times. <br>

硬件系统
本数据集所用核心硬件为数据手套，其包含三个功能单元：传感单元、处理单元以及机载电源调节单元。其中传感单元由5个2.2英寸柔性传感器（SEN-10264）与1个集成三轴加速度计及三轴陀螺仪的惯性测量单元（Inertial Measurement Unit, IMU）（MPU-6050）组成。

数据集概述
我们从标准美国手语（American Sign Language, ASL）词典中选取了40种手语动作，涵盖26个字母与14个词汇。其中24种仅需特定手指屈曲动作，无需手部移动，因此被归类为静态手语动作；剩余16种则需配合手部移动与手指屈曲，以符合ASL词典中的表意规范。本次数据采集共招募25名受试者（19名男性、6名女性），在统一的实验流程下分批次完成数据采集。本数据集共记录五类数据：三轴身体坐标系加速度、三轴地面坐标系加速度、三轴角速度数据、四元数数据以及柔性传感器数据，其中加速度类数据分为身体轴与地轴两个轴系，各含3个通道，角速度数据含3个通道，四元数数据含4个通道，柔性传感器数据含5个通道。数据由数据手套的处理单元采集，并通过USB接口连接笔记本电脑完成存储。采样频率设置为100Hz，且每个手势动作重复执行10次，以记录不同受试者的动作表现差异。不过在数据集补充信息中标记的部分采集批次中，笔记本电脑连接了充电器，导致该批次的采集数据中混入了交流电源干扰噪声。

数据采集流程
正式采集前，每名受试者均签署了数据使用同意书，并了解了完整的采集流程。由于受试者在实验前未接触过本次用到的手语动作，我们先通过在线视频教学向其演示每个手语动作。数据由数据手套实时采集并同步存储至笔记本电脑，为此我们在笔记本上运行Python脚本以实现设备间的通信握手，并按照手语动作与受试者分类将数据存储至对应文件夹。每一轮采集开始前，受试者需先声明自身受试者编号与当前采集的手势名称，随后笔记本屏幕会显示5秒倒计时以供受试者准备。每个手势动作的采集时长为1.5秒窗口，受试者需在此窗口内完成一次动作。单一手势的采集流程需重复10次。

搜集汇总

背景与挑战

背景概述

DU-ASL-DATA-GLOVE-DB是一个通过数据手套采集的美国手语数据集，包含40个手势(26字母+14单词)的传感器数据，采集自25名受试者。数据集记录了加速度、角速度、四元数和弯曲传感器数据，采样率为100Hz，每个手势重复10次采集。