The Forth-Trace Dataset For Human Activity Recognition Of Simple Activities And Postural Transitions Using A Body Area Network

The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locations listed in Table 1. The participants performed a series of 16 activities (7 basic and 9 postural transitions), listed in Table 2. The captured signals are the following: 3-axis accelerometer 3-axis gyroscope 3-axis magnetometer The sampling rate of the devices is set to 51.2 Hz. DATASET FILES The dataset contains the following files: partX/partXdev1.csv partX/partXdev2.csv partX/partXdev3.csv partX/partXdev4.csv partX/partXdev5.csv Where X corresponds to the participant ID, and numbers 1-5 to the device IDs indicated in Table 1. Each .csv file has the following format: Column1: Device ID Column2: accelerometer x Column3: accelerometer y Column4: accelerometer z Column5: gyroscope x Column6: gyroscope y Column7: gyroscope z Column8: magnetometer x Column9: magnetometer y Column10: magnetometer z Column11: Timestamp Column12: Activity Label Table 1: LOCATIONS Left Wrist Right Wrist Torso Right Thigh Left Ankle Table 2: ACTIVITY LABELS (Arrows (->) indicate transitions between activities) stand sit sit and talk walk walk and talk climb stairs (up/down) climb stairs (up/down) and talk stand -> sit sit -> stand stand -> sit and talk sit and talk -> stand stand -> walk walk -> stand stand -> climb stairs (up/down), stand -> climb stairs (up/down) and talk climb stairs (up/down) -> walk climb stairs (up/down) and talk -> walk and talk