Fall detection and/or prevention systems
First Claim
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1. A fall detection and/or prevention system, comprising:
- one or more sensors for detecting characteristics of movement of a user of the fall detection and/or prevention system and for generating corresponding signals;
one or more computers for analyzing the signals from the one or more sensors using a fall detection algorithm to determine if a fall has taken place or is likely to take place, the fall detection algorithm including one or more feature sets indicating falls or non-falls and representing signals from the one or more sensors, the one or more computers being configured to;
update said fall detection algorithm based on the result of the analysis of the signals using the fall detection algorithm to determine if a fall has taken place or is likely to take place and an indication as to whether a fall has actually taken place from the user or a third party, andmonitor the frequency with which the fall detection algorithm is updated, and if the frequency exceeds a threshold, remove one or more feature sets from the fall detection algorithm.
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Abstract
There is provided a fall detection and/or prevention system, comprising one or more sensors for detecting characteristics of movement of a user of the fall detection and/or prevention system and for generating corresponding signals; processing means for analyzing the signals from the one or more sensors using a fall detection algorithm to determine if a fall has taken place or is likely to take place; wherein the processing means is further adapted to update said fall detection algorithm based on the result of the analysis of the signals and an indication whether a fall has actually taken place from the user or a third party.
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Citations
18 Claims
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1. A fall detection and/or prevention system, comprising:
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one or more sensors for detecting characteristics of movement of a user of the fall detection and/or prevention system and for generating corresponding signals; one or more computers for analyzing the signals from the one or more sensors using a fall detection algorithm to determine if a fall has taken place or is likely to take place, the fall detection algorithm including one or more feature sets indicating falls or non-falls and representing signals from the one or more sensors, the one or more computers being configured to; update said fall detection algorithm based on the result of the analysis of the signals using the fall detection algorithm to determine if a fall has taken place or is likely to take place and an indication as to whether a fall has actually taken place from the user or a third party, and monitor the frequency with which the fall detection algorithm is updated, and if the frequency exceeds a threshold, remove one or more feature sets from the fall detection algorithm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15)
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13. A fall detection and/or prevention system comprising:
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one or more sensors configured to detect characteristics of movement of a user and generate signals corresponding to the detected characteristics of movement; a computer which analyzes signals from the one or more sensors using a fall detection algorithm which includes one or more features sets representing signals from the one or more sensors to determine if a fall has taken place or is likely to take place, the computer being configured to; update said fall detection algorithm based on the result of the analysis of the signals and an indication whether a fall has actually taken place from the user or a third party; monitor the frequency with which the fall detection algorithm is updated, and if the frequency exceeds a threshold, remove one or more feature sets from the fall detection algorithm.
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16. A non-transitory computer-readable medium carrying computer executable code that, when executed on a computer or processor, controls the computer or processor to perform the steps of:
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receiving signals indicating characteristics of movement of a user of a fall detection and/or prevention system; analyzing the signals using a fall detection algorithm which includes a plurality of movement characteristics feature sets to determine if a fall has taken place or is likely to take place; updating said fall detection algorithm based on the result of the analysis of the signals and an indication whether a fall has actually taken place; and in response to a frequency with which the fall detection algorithm is updated exceeding a threshold, removing one or more of the feature sets.
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17. A method of training a fall detection and/or prevention algorithm for use in a fall detection and/or prevention system, the method comprising:
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with movement sensors, obtaining measurements of characteristics of movement of a user; with one or more computers, analyzing the measurements using a fall detection algorithm which compares characteristics of movement feature sets to determine if a fall has taken place or is likely to take place and updating said fall detection algorithm based on an indication whether a fall has actually taken place and removing at least one of the feature sets in response to a frequency with which the fall detection algorithm is updated exceeding a threshold. - View Dependent Claims (18)
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Specification