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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
