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Fall prevention device - Signal recordings using a mm-wave radar sensor

Kjernsvik, Selma Tomine LU and Cela, Ines LU (2024) EEML05 20241
Department of Biomedical Engineering
Abstract (Swedish)
Falling is one of the most common accidents for older adults over the age of 65, with more than 70 000 cases yearly in Sweden. Today there is not a technical solution which can prevent such accidents. The development of a fall prevention device could therefore be revolutionary. A substantial database is required to develop a fall prevention device that can recognise different surroundings and give precise sensory feedback to the user when it is safe to take a step over an obstacle. Measurements on twenty volunteers were done upon request from a researcher at the faculty of Engineering at Lund University. The purpose was to expand a database with walking patterns of healthy individuals. Different scenarios were tested using a radar sensor... (More)
Falling is one of the most common accidents for older adults over the age of 65, with more than 70 000 cases yearly in Sweden. Today there is not a technical solution which can prevent such accidents. The development of a fall prevention device could therefore be revolutionary. A substantial database is required to develop a fall prevention device that can recognise different surroundings and give precise sensory feedback to the user when it is safe to take a step over an obstacle. Measurements on twenty volunteers were done upon request from a researcher at the faculty of Engineering at Lund University. The purpose was to expand a database with walking patterns of healthy individuals. Different scenarios were tested using a radar sensor attached to the shoe, with a connected device sitting at the ankle. The scenarios used were walking over a wood threshold, metal threshold and a water pit. This was done with the sensor on the side of the foot and at the front of the foot. In total 6 recordings on 20 volunteers were taken, making it 120 recordings all together. The measurement's purpose is to expand the database that is going to be used to develop a fall prevention device for people who have gait related issues. The recordings were transferred from the device in to labVIEW and analyzed using MATLAB. This will later be implemented in a machine learning algorithm. The goal is to find cues in the signal that an obstacle is coming before stepping over it. This way it is possible to warn ahead of time and prevent falls. This requires data collection, which our project aims to contribute with. (Less)
Please use this url to cite or link to this publication:
author
Kjernsvik, Selma Tomine LU and Cela, Ines LU
supervisor
organization
alternative title
Fallpreventionsutrustning - Signaldetektering med en millimetervågsradarsensor
course
EEML05 20241
year
type
M2 - Bachelor Degree
subject
keywords
Sensor, falling, threshold, volunteers, fall prevention, electromagnetic waves, gait, radar sensor
language
English
id
9165096
date added to LUP
2024-06-20 12:42:29
date last changed
2024-06-20 12:42:29
@misc{9165096,
  abstract     = {{Falling is one of the most common accidents for older adults over the age of 65, with more than 70 000 cases yearly in Sweden. Today there is not a technical solution which can prevent such accidents. The development of a fall prevention device could therefore be revolutionary. A substantial database is required to develop a fall prevention device that can recognise different surroundings and give precise sensory feedback to the user when it is safe to take a step over an obstacle. Measurements on twenty volunteers were done upon request from a researcher at the faculty of Engineering at Lund University. The purpose was to expand a database with walking patterns of healthy individuals. Different scenarios were tested using a radar sensor attached to the shoe, with a connected device sitting at the ankle. The scenarios used were walking over a wood threshold, metal threshold and a water pit. This was done with the sensor on the side of the foot and at the front of the foot. In total 6 recordings on 20 volunteers were taken, making it 120 recordings all together. The measurement's purpose is to expand the database that is going to be used to develop a fall prevention device for people who have gait related issues. The recordings were transferred from the device in to labVIEW and analyzed using MATLAB. This will later be implemented in a machine learning algorithm. The goal is to find cues in the signal that an obstacle is coming before stepping over it. This way it is possible to warn ahead of time and prevent falls. This requires data collection, which our project aims to contribute with.}},
  author       = {{Kjernsvik, Selma Tomine and Cela, Ines}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Fall prevention device - Signal recordings using a mm-wave radar sensor}},
  year         = {{2024}},
}