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US 11,445,986 B2Granted
Health monitor wearable device
AssigneeGaia Connect Inc.
InventorAdinel Tudor
Life of this patent
Estimating the term…
Abstract
Disclosed are systems and methods for detecting a fall of a user of a wearable device. The described system samples signal data from an accelerometer of the wearable device and performs a preliminary determination of fall detection using pattern recognition. This preliminary detection may be based on whether a first portion of the signal data exceeds a first threshold indicative of a fall of a wearer of the electronic device and whether a second portion of the signal data is within a range indicative of motion stillness following the fall. The described system further applies a machine learning classifier to the signal data associated with the preliminary indication to generate a fall classification indicating the signal data represents a fall of the wearer of the electronic device.
Claims16
An apparatus for detecting a fall of a wearer of the apparatus, comprising:
- a wireless communication component;
- at least one sensor comprising an accelerometer configured to measure motion of the apparatus;
- a processor configured to:
- sample signal data received from the accelerometer;
- determine that a first portion of the signal data exceeds a first threshold indicative of the fall of the wearer of the apparatus and that a second portion of the signal data is within a range indicative of motion stillness following the fall, wherein the processor is further configured to ignore, based on a tolerance range, solely signal points that are not associated with a falling motion, exclusively between the first portion of the signal data and the second portion of the signal data, while still monitoring for a pattern of an impact followed by inactivity;
- generate, in response to the determination, a preliminary indication of fall detection associated with the signal data;
- apply, subsequent to generating the preliminary indication, a machine learning classifier to the signal data associated with the preliminary indication to generate a fall classification confirming that the signal data represents the fall of the wearer of the apparatus;
- activate an alarm of the apparatus in response to a generated fall classification;
- in response to not receiving a button input of the apparatus within a first threshold period of time from the alarm activation:
- transmit to a second party associated with the wearer, via the wireless communication component of the apparatus, a notification that the wearer of the apparatus has fallen;
- and
- in response to receiving the button input of the apparatus within the first threshold period of time from the alarm activation:
- refrain from transmitting the notification to the second party;
- and
- train the machine learning classifier via feedback indicating that the signal data does not represent the fall of the wearer.
12 more elements
A computer-implemented method for fall detection of a wearer of an electronic device, comprising:
- sampling signal data received from an accelerometer of the electronic device;
- determining that a first portion of the signal data exceeds a first threshold indicative of a fall of the wearer of the electronic device and that a second portion of the signal data is within a range indicative of motion stillness following the fall, wherein the determining further comprises ignoring, based on a tolerance range, solely signal points that are not associated with a falling motion, exclusively between the first portion of the signal data and the second portion of the signal data, while still monitoring for a pattern of an impact followed by inactivity;
- generating, in response to the determination, a preliminary indication of fall detection associated with the signal data;
- applying, subsequent to generating the preliminary indication, a machine learning classifier to the signal data associated with the preliminary indication to generate a fall classification confirming that the signal data represents the fall of the wearer of the electronic device;
- activating an alarm of the electronic device in response to a generated fall classification;
- in response to not receiving a button input of the electronic device within a first threshold period of time from the alarm activation:
- transmitting to a second party associated with the wearer, via a wireless communication component of the electronic device, a notification that the wearer of the electronic device has fallen;
- and
- in response to receiving the button input of the electronic device within the first threshold period of time from the alarm activation:
- refraining from transmitting the notification to the second party;
- and
- training the machine learning classifier via feedback indicating that the signal data does not represent the fall of the wearer.
9 more elements
A non-transitory computer readable medium comprising computer executable instructions for fall detection of a wearer of an electronic device, the instructions causing the electronic device to perform steps comprising:
- sampling signal data received from an accelerometer of the electronic device;
- determining that a first portion of the signal data exceeds a first threshold indicative of a fall of the wearer of the electronic device and that a second portion of the signal data is within a range indicative of motion stillness following the fall, wherein the determining further comprises ignoring, based on a tolerance range, solely signal points that are not associated with a falling motion, exclusively between the first portion of the signal data and the second portion of the signal data, while still monitoring for a pattern of an impact followed by inactivity;
- generating, in response to the determination, a preliminary indication of fall detection associated with the signal data;
- applying, subsequent to generating the preliminary indication, a machine learning classifier to the signal data associated with the preliminary indication to generate a fall classification confirming that the signal data represents the fall of the wearer of the electronic device;
- activating an alarm of the electronic device in response to a generated fall classification;
- in response to not receiving a button input of the electronic device within a first threshold period of time from the alarm activation:
- transmitting to a second party associated with the wearer, via a wireless communication component of the electronic device, a notification that the wearer of the electronic device has fallen;
- and
- in response to receiving the button input of the electronic device within the first threshold period of time from the alarm activation:
- refraining from transmitting the notification to the second party;
- and
- training the machine learning classifier via feedback indicating that the signal data does not represent the fall of the wearer.
9 more elements
Dependencies are inferred from the claim text.