Methods to minimize false detection in accidental fall warning systems

Falls are one of the leading causes of mortality among the elderly. Fast detection of a fall is a key factor in alleviating the main negative health consequences. A current challenge for the scientific and commercial community is to choose the appropriate methods for reducing the false positives in fall detection systems (FDS). It is also very important that the chosen methods be analyzed and applied in order of priority. It has been found that there are different methods of combating erroneous detection of a fall. If these methods are chosen properly, the false positive rate can be greatly diminished. This paper presents some methods that can be used to reduce the false positive rate from falls detection systems.

• Publication year

  2019

• Venue

  International Conference on System Theory, Control and Computing

• Publication date

  2019-10-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/ICSTCC.2019.8885996
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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