Thesis project - Fall detection in health and social care
Tunstall Nordic AB / Elektronikjobb / Malmö
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hela Sverige Falling injuries among the elderly is a growing public health problem. The reasons are that we are getting older and older while at the same time continuing to live in our own homes for longer. About 8 out of 10 people who fall and are injured are people over the age of 65. Among the elderly 75 percent of the injuries, occur in the home environment. The risk of falling creates fear that stops many people from going out. The consequences are increased isolation, impaired physical performance and accelerated aging.
Tunstall already today has products for fall detection but want to explore what other technologies for fall detection that are available on the market that can be used to further improve the accuracy and reliability in detecting a fall. The assignment could also include exploring how methods like Machine Learning can be used to increase the accuracy of detecting or preventing a fall.
The assignment
• Researching different technologies and methods for fall detection
• Suggest which technology is most suitable for the target group, i.e. which technology is most suitable to detect a fall among the elderly given how elderly people fall
• Examine the possibility of using Machine Learning to improve the accuracy of detecting a fall
• Fall prevention - examine how the risk of falling can be detected before a fall happens
The scope of the assignment can include all of the above of be focused on a specific area of the above and will be decided together by the students and Tunstall.
We are looking for: Engineering students in Sweden.
For more information, please contact Nils Gautam
nils.gautam@tunstallnordic.comPlease show your interest by applying through this web page.
Varaktighet, arbetstid
Heltid Anställningstid enligt överenskommelse
Publiceringsdatum2019-11-29ErsättningLön enligt överenskommelse
Så ansöker duSista dag att ansöka är 2020-05-17
Klicka på denna länk för att göra din ansökanFöretagTunstall Nordic AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Tunstall Nordic AB (org.nr 556540-2889),
https://www.tunstall.se/ Arbetsplats Tunstall Nordic
Jobbnummer 4980105
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