活动识别,从单个胸部加速计数据集进行活动识别

Uncalibrated Accelerometer Data are collected from 15 participantes performing 7 activities. The dataset provides challenges for identification and authentication of people using motion patterns. Data Set Information: --- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerometer Data are Uncalibrated --- Number of Participants: 15 --- Number of Activities: 7 --- Data Format: CSV Attribute Information: --- Data are separated by participant --- Each file contains the following information ---- sequential number, x acceleration, y acceleration, z acceleration, label --- Labels are codified by numbers --- 1: Working at Computer --- 2: Standing Up, Walking and Going updown stairs --- 3: Standing --- 4: Walking --- 5: Going UpDown Stairs --- 6: Walking and Talking with Someone --- 7: Talking while Standing Relevant Papers: --- Casale, P. Pujol, O. and Radeva, P. 'BeaStreamer-v0.1: a new platform for Multi-Sensors Data Acquisition in Wearable Computing Applications', CVCRD09, ISBN: 978-84-937261-1-9, 2009 available on [Web link] --- Casale, P. Pujol, O. and Radeva, P. 'Human activity recognition from accelerometer data using a wearable device', IbPRIA'11, 289-296, Springer-Verlag, 2011 available on [Web link] --- 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 available on [Web link] 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