基于步行活动数据集的用户识别

Pierluigi Casale, Computer Vision Center, Barcelona, Spain. Email: plcasale '@' ieee.org Data Set Information: The dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in the wild over a predefined path. The dataset is intended for Activity Recognition research purposes. It provides challenges for identification and authentication of people using motion patterns. --- Sampling frequency of the accelerometer: DELAY_FASTEST with network connections disabled --- Number of Participants: 22 --- Data Format: CSV Attribute Information: --- Data are separated by participant --- Each file contains the following information ---- time-step, x acceleration, y acceleration, z acceleration Relevant Papers: --- Casale, P. Pujol, O. and Radeva, P. 'Personalization and user verification in wearable systems using biometric walking patterns' Personal and Ubiquitous Computing, 16(5), 563-580, 2012 Citation Request: --- Casale, P. Pujol, O. and Radeva, P. 'Personalization and user verification in wearable systems using biometric walking patterns' Personal and Ubiquitous Computing, 16(5), 563-580, 2012