Personalized fall detector
AssigneeConnect America
InventorWarner Rudolph Theophile Ten Kate
Life of this patent
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Abstract
A method and system for training a fall detection classifier using subject-specific movement data. Movement data responsive to a subject's movements during everyday activities are obtained over a predetermined data collection period. For each detected event in the movement data, values for one or more parameters that may (together or individually) indicate a fall are obtained. The obtained values are used to generate a subject-specific probability distribution for non-fall events. A fall event probability distribution is obtained using the non-fall event probability distribution. This fall event probability distribution can then be subsequently processed, with reference to a threshold value, to distinguish fall events from non-fall events.
Claims20
A computer-implemented method executed on data processing hardware that causes the data processing hardware to perform operations comprising:
- obtaining movement data representing movement of a subject over a predetermined data collection period, the movement data comprising one or more parameters, each respective parameter comprising a corresponding value;
- detecting an event based on the movement data;
- determining a non-fall event probability distribution based on a combination of the one or more parameters and the corresponding values, the non-fall event probability distribution indicating a probability of a non-fall event;
- obtaining a threshold value based on the non-fall event probability distribution, the threshold value distinguishing between the non-fall event and a fall event;
- and
- configuring an automatic fall detector with the threshold value, the automatic fall detector configured to use the threshold value to distinguish between the fall event and the non-fall event for subsequently obtained movement data.
A system comprising:
- data processing hardware;
- and
- memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
- obtaining movement data representing movement of a subject over a predetermined data collection period, the movement data comprising one or more parameters, each respective parameter comprising a corresponding value;
- detecting an event based on the movement data;
- determining a non-fall event probability distribution based on a combination of the one or more parameters and the corresponding values, the non-fall event probability distribution indicating a probability of a non-fall event;
- obtaining a threshold value based on the non-fall event probability distribution, the threshold value distinguishing between the non-fall event and a fall event;
- and
- configuring an automatic fall detector with the threshold value, the automatic fall detector configured to use the threshold value to distinguish between the fall event and the non-fall event for subsequently obtained movement data.
Dependencies are inferred from the claim text.