Prehensile movements when handling a smartphone

This dataset contains raw prehensile movement data collected from seven (7) volunteers aged from 19 to 56 years interacting with a smartphone (Sony Xperia P). The dataset was collected passively without imposing any predefined tasks to the user to represent at the best the user natural behavior. The motion data was collected from signals extracted from the multiple 3-dimensional inertial sensors of the smartphone: the gyroscope that measures the rotation rate along the device three axes in radians per second (rad/s), the accelerometer that measures the proper acceleration in meter per second square (m/s²), and the gravity that measures the gravitational component. This dataset has been used to evaluate a non-obtrusive continuous biometric authentication system in smartphones.

本数据集包含从7名年龄介于19至56岁的志愿者处采集的原始抓握运动数据，这些志愿者曾与索尼Xperia P智能手机进行交互。本数据集采用被动采集方案，未向用户设置任何预定义任务，以最大程度还原用户的自然使用行为。运动数据源自智能手机内置的多组三维惯性传感器（3-dimensional inertial sensors）所提取的信号：包括以弧度每秒（rad/s）为单位测量设备三轴旋转速率的陀螺仪（gyroscope）、以米每二次方秒（m/s²）为单位测量固有加速度的加速度计（accelerometer），以及用于采集重力分量的重力传感器。本数据集曾被用于评估智能手机中的非侵入式连续生物特征认证系统。