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This activity dataset was built from the recordings of 15 healthy volunteers composed of 13 males and 2 females in the age range 18-49 years and the height range between 150 to 183 cm.
All subjects signed a consent form before participating in the experiments. Each person performing activities of daily living (ADL) while attaching sensors on 5 positions on the subject body. The sensors are attached on the right arm (upper arm), the left chest (shirt pocket), the left wrist, and the left foot (ankle) of each participant. There are 11 activities including walking, walking upstairs, walking downstairs, jumping, jumping jack, running, sitting, sit up, stand, Sit and then stand up, and Stand and then sit down, which are labeled with WALK, WALK_UP, WALK_DOWN, JUMP, JUMPING_JACK, RUN, SIT, SITUP, STAND, UP and DOWN respectively.
The sensor signals (accelerometer and gyroscope) were pre-processed by applying the Butterworth low-pass filter and then sampled in fixed-width sliding windows of 2.04 sec (102 readings/window). Each record consists of activity label, 102 sets of 3-axis accelerometer (Ax,Ay,Az) and 3-axis gyroscope (Gx,Gy,Gz) in the Cartesian coordinate system. There are 14,535 records from arm location, 15,030 records from chest location, 14,143 records from foot location, 16,753 records from leg location, and 12,944 records from wrist location. There are 73,405 records in total.
Download Activity Dataset here.
Table 1: The number of records for each activity in each sensor location.
This fall dataset was built from the recordings of 4 healthy male volunteers in the age range 18 - 38 years and the height range between 165 to 183 cm.
The subjects were collected falls data in 8 directions (North (in front of the subjects), North-East, East, South-East, South(back of the subjects), South-West, West, and North-West) and falls to their knees first in 5 directions (North (in front of the subjects), North-East, East, West, and North-West). The sensor is attached on the left chest on each subject body.
Download Fall Dataset here.