pavelnguyen / hr_imu_falldetection_dataset

Dataset for fall detection in a wearable device

Heart Rate & IMU sensor data for fall detection (HIFD dataset)

This dataset was introduced in the published article, IEEE Access 2020, "Cluster-Analysis-based User-Adaptive Fall Detection using Fusion of Heart Rate Sensor and Accelerometer in a Wearable Device.". https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8970371

[email protected], [email protected], TCL, KAIST, http://robot.kaist.ac.kr

Description

1) Sensor attachment location: at a wrist (left hand)
2) Subjects: 21 (13:male / 8: female)
3) Sampling rate: 50 Hz
4) 19 Scenarios: 6 falls, 9 ADLs, and 4 near-falls
5) An Effectiveness of gravity is removed.
6) A range of accelerometer: +-16g
7) Heart rate signal is processed to easily obtain RR interval

Scenario

1) fall1.mat: Clockwise forward fall
2) fall2.mat: Clocklwise backward fall
3) fall3.mat: Right to left lateral fall
4) fall4.mat: Counterclock-wise forward fall
5) fall5.mat: Counterclock-wise backward fall
6) fall6.mat: Left to right lateral fall
7) bed.mat: Lying down and up on the bed
8) chair.mat: Sitting down and up
9) clap.mat: Hitting the sensor
10) cloth.mat: Wearing a cloth
11) eat.mat: Eating
12) hair.mat: Brushing the hair
13) shoe.mat: Tying a shoelace
14) stair.mat: Climbing up and down on stairs
15) teeth.mat: Brushing teeth
16) walk.mat: Walking
17) wash.mat: Washing
18) write.mat: Writing
19) zip.mat: Rapidly zipping up and down

Data notation

1) ax: x axis of accelerometer signal (g)
2) ay: y axis of accelerometer signal (g)
3) az: z axis of accelerometer signal (g)
4) w: quaternion of gyroscope
5) x: quaternion of gyroscope
6) y: quaternion of gyroscope
7) z: quaternion of gyroscope
8) droll: angular velocity of gyroscope
9) dpitch: angular velocity of gyroscope
10) dyaw: angular velocity of gyroscope
11) heart: PPG sensor
12) time: Real time 

Subject information (Age, Sex)

1) Subject1: 31, Male
2) Subject2: 21, Female
3) Subject3: 28, Male
4) Subject4: 25, Male
5) Subject5: 21, Female
6) Subject6: 28, Male
7) Subject7: 32, Male
8) Subject8: 22, Female
9) Subject9: 27, Male
10) Subject10: 25, Male
11) Subject11: 27, Male
12) Subject12: 26, Male
13) Subject13: 21, Female
14) Subject14: 21, Female
15) Subject15: 29, Female
16) Subject16: 30, Male
17) Subject17: 23, Female
18) Subject18: 28, Male
19) Subject19: 25, Male
20) Subject20: 21, Female
21) Subject21: 30, Male