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TST Footwear-Based dataset for Fall Detection (TST FB4FD)

Abstract: 

The TST FB4FD dataset contains data acquired through a pair of smart shoes. The smart shoes are specifically designed for fall detection purposes and are equipped respectively with 3 Force Sensing Resistors (FSRs) and an inertial unit.  More specifically, the dataset consists of 32 different falls and 8 activities of daily living (ADLs) performed by 17 healthy subjects aged between 21 and 55 years, for a total of 544 falls and 136 ADLs sequences .

Instructions: 

TST FB4FD is fully available at the following link: http://www.tlc.dii.univpm.it/blog/footwear-based-dataset-for-fall-detect...

 

The dataset consists in 17 folders,  named with the user ID to which they refer.

Each folder is structured as follow:

  • Acquisitions:

    • ADLs:

      • APBE: Pick up an object on the floor with bending.

        • APBEST: The subject is standing, bends, picks up an object on the floor, and then stands up again.

        • APBEWK: The subject walks, bends, picks up an object on the floor, and then stands up again.

      • APSQ: Pick up an object on the floor with squatting.

        • APSQST: The subject is standing, squats, picks up an object on the floor, and then stands up again.

        • APSQWK: The subject walks, squats, picks up an object on the floor, and then stands up again.

      • ASCH: Sit and get up from the chair.

        • ASCHST: The subject is standing, sits on a chair, and then stands up again.

        • ASCHWK: The subject walks, sits on a chair, and then stands up again.

      • ASSO: Sit and get up from the couch.

        • ASSOST: The subject is standing, sits on a couch, and then stands up again.

        • ASSOWK: The subject walks, sits on a couch, and then stands up again.

    • Falls:

      • FBELFR: Backward falls, finishing lying.

        • FBELFRST: The subject is standing, falls backwards, and remains on the ground.

        • FELFRSTRC: The subject is standing, falls backwards, stays on the ground for a while and then gets up again.

        • FBELFRWK:

        • FBELFRWKRC:

      • FBESFR: Backward falls, finishing sitting.

        • FBESFRST: The subject is standing, falls backwards, and remains on the ground.

        • FBESFRSTRC: The subject is standing, falls backwards, stays on the ground for a while and then gets up again.

        • FBESFRWK: The subject walks, falls backward, and remains on the ground.

        • FBESFRWKRC: The subject walks, falls backward, stays on the ground for a while and then gets up again.

      • FFELFR: Forward falls, finishing lying.

        • FFELFRST: The subject is standing, falls forwards, and remains on the ground.

        • FFELFRSTRC: The subject is standing, falls forwards, stays on the ground for a while and then gets up again.

        • FFELFRWK: The subject walks, falls forwards, and remains on the ground.

        • FFELFRWKRC: The subject walks, falls forwards, stays on the ground for a while and then gets up again.

      • FFOKCH: Forward falls on the knees grabbing the chair.

        • FFOKCHST: The subject is standing, falls forwards, and remains on the ground, grabbing the chair.

        • FFOKCHSTRC: The subject is standing, falls forwards, stays on the ground grabbing the chair for a while, and then gets up again.

        • FFOKCHWK: The subject walks, falls backward, and remains on the ground, grabbing the chair.

        • FFOKCHWKRC: The subject walks, falls backward, stays on the ground grabbing the chair for a while, and then gets up again.

      • FFOKFR:Forward falls on the knees.

        • FFOKFRST: The subject is standing, falls forwards, and remains on the ground.

        • FFOKFRSTRC: The subject is standing, falls forwards, stays on the ground for a while and then gets up again.

        • FFOKFRWK: The subject walks, falls forwards, and remains on the ground.

        • FFOKFRWKRC: The subject walks, falls forwards, stays on the ground for a while and then gets up again.

      • FFOKSO: Forward falls on the knees grabbing the sofa.

        • FFOKSOST: The subject is standing, falls forwards, and remains on the ground, grabbing the sofa.

        • FFOKSOSTRC: The subject is standing, falls forwards, stays on the ground grabbing the sofa for a while, and then gets up again.

        • FFOKSOWK: The subject walks, falls forwards, and remains on the ground, grabbing the sofa.

        • FFOKSOWKRC: The subject walks, falls forwards, stays on the ground grabbing the sofa for a while and then gets up again.

      • FSLEFR: Left side falls.

        • FSLEFRST: The subject is standing, falls on the left side, and remains on the ground.

        • FSLEFRSTRC: The subject is standing, falls on the left side, stays on the ground for a while and then gets up again.

        • FSLEFRWK: The subject walks, falls on the left side, and remains on the ground.

        • FSLEFRWKRC: The subject walks, falls on the left side, stays on the ground for a while and then gets up again.

      • FSRIFR: Right side falls.

        • FSRIFRST: The subject is standing, falls on the right side, and remains on the ground.

        • FSRIFRSTRC: The subject is standing, falls on the right side, stays on the ground for a while and then gets up again.

        • FSRIFRWK: The subject walks, falls on the right side, and remains on the ground.

        • FSRIFRWKRC: The subject walks, falls on the right side, stays on the ground for a while and then gets up again.

In each of these sub-folders contains a .txt file, in which each row represents an acquisition. The acquisitions occur every 10 ms for both shoes.

Each line contains the following fields in order:

  • fsr1_l: output voltage value acquired by FSR1, applied on the left heel;

  • fsr2_l: output voltage value acquired by FSR2, applied on the left 1st metatarsal head;

  • fsr3_l: output voltage value acquired by FSR3, applied on the left 5th metatarsal
    head;

  • fsr1_r: output voltage value acquired by FSR1, applied on the right heel;

  • fsr2_r: output voltage value acquired by FSR2, applied on the right 1st metatarsal head;

  • fsr3_r: output voltage value acquired by FSR3, applied on the right 5th metatarsal
    head;

  • accel_x_r: accelerometer reading on the x axis of the right shoe;

  • accel_y_r: accelerometer reading on the y axis of the right shoe;

  • accel_z_r: accelerometer reading on the z axis of the right shoe;

  • mag_x_r: magnetometer reading on the x axis of the right shoe;

  • mag_y_r: magnetometer reading on the y axis of the right shoe;

  • mag_z_r: magnetometer reading on the z axis of the right shoe;

  • gyro_x_r: gyroscope reading on the x axis of the right shoe;

  • gyro_y_r: gyroscope reading on the y axis of the right shoe;

  • gyro_z_r: gyroscope reading on the z axis of the right shoe;

  • accel_x_l: accelerometer reading on the x axis of the left shoe;

  • accel_y_l: accelerometer reading on the y axis of the left shoe;

  • accel_z_l: accelerometer reading on the z axis of the left shoe;

  • mag_x_l: magnetometer reading on the x axis of the left shoe;

  • mag_y_l: magnetometer reading on the y axis of the left shoe;

  • mag_z_l: magnetometer reading on the z axis of the left shoe;

  • gyro_x_l: gyroscope reading on the x axis of the left shoe;

  • gyro_y_l: gyroscope reading on the y axis of the left shoe;

  • gyro_z_l: gyroscope reading on the z axis of the left shoe.

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Dataset Files

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Dataset Details

Citation Author(s):
Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo
Submitted by:
Laura Montanini
Last updated:
Tue, 04/11/2017 - 11:11
DOI:
10.21227/H2W01S
Data Format:
Links:
 
Cite

Subscribe

[1] Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo, "TST Footwear-Based dataset for Fall Detection (TST FB4FD)", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2W01S. Accessed: Oct. 23, 2017.
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url = {http://dx.doi.org/10.21227/H2W01S},
author = {Susanna Spinsante; Ennio Gambi; Laura Montanini; Davide Perla; Antonio Del Campo },
publisher = {IEEE Dataport},
title = {TST Footwear-Based dataset for Fall Detection (TST FB4FD)},
year = {2017} }
TY - DATA
T1 - TST Footwear-Based dataset for Fall Detection (TST FB4FD)
AU - Susanna Spinsante; Ennio Gambi; Laura Montanini; Davide Perla; Antonio Del Campo
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2W01S
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Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo. (2017). TST Footwear-Based dataset for Fall Detection (TST FB4FD). IEEE Dataport. http://dx.doi.org/10.21227/H2W01S
Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo, 2017. TST Footwear-Based dataset for Fall Detection (TST FB4FD). Available at: http://dx.doi.org/10.21227/H2W01S.
Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo. (2017). "TST Footwear-Based dataset for Fall Detection (TST FB4FD)." Web.
1. Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo. TST Footwear-Based dataset for Fall Detection (TST FB4FD) [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2W01S
Susanna Spinsante, Ennio Gambi, Laura Montanini, Davide Perla, Antonio Del Campo. "TST Footwear-Based dataset for Fall Detection (TST FB4FD)." doi: 10.21227/H2W01S