Data set Wheelchair sensors

Citation Author(s):
Paul D. Rosero-Montalvo
Submitted by:
Paul Rosero
Last updated:
Tue, 05/17/2022 - 22:21
DOI:
10.21227/H2MW99
Data Format:
CSV
Link to Paper:
Intelligent System for Identification of Wheelchair User’s Posture Using Machine Learning Techniques
Links:
SDAS GROUP
License:
Creative Commons Attribution
1240 Views
Categories:
Sensors
Keywords:
embedded system, sensors, posture detection
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Abstract 

Pressure position sensors and actuators are represented by red large and blue circles on the seating, respectively. Black circles display ultrasound sensors in the backrest, yellow arrows show output peripheral, and red arrows indicate peripheral input into the analog-digital converter.

S1= Preasure sensor, value 0-1023 decimal
S2= Preasure sensor, value 0-1023 decimal
S3= Preasure sensor, value 0-1023 decimal
S4= Ultrasonic sensor, value 0-15 cm
Instructions: 

Each label correspond to:

Label         Position                                             Possible health problems

1                Right position                                    No harm

 

2                Higher pressure or right side             Respiratory issues, muscle imbalance stress on liver, stomach and right kidney

 

3                 Higher pressure or left side              Respiratory issues, muscle imbalance stress on liver, stomach and left kidney

 

4                 Higher forward pressure                   Knee issues, back pain and stress on abodmen

Comments

This dataset presents an intelligent electronic system aimed at detecting a person's posture when sit a wheelchair. The main use of the proposed system is to warn an improper posture to preventing major health issues
Submitted by Paul Rosero on Tue, 05/01/2018 - 00:04

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