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US 10,172,555 B2Granted
Device for detecting on-body impacts
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsBruce Cam, David B. Camarillo, Lyndia Chun Wu
Life of this patent
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Abstract
Provided is a device for placement on a human subject to detect impacts on the human subject. The device includes a base member, one or more engagement sensors to detect whether the device is properly placed on the human subject, and one or more motion sensors to detect the kinematics of the human subject. The device also includes a processing unit that includes methodology to detect false positives such as chewing, dropping, and throwing.
Claims25
An oral appliance comprising:
- a base member having a generally U-shaped form defining a channel to receive a row of teeth of a human subject;
- an emitter affixed to the base member, wherein the emitter is configured to emit a wave signal;
- a receiver affixed to the base member, wherein the receiver is positioned relative to the emitter such that the receiver is configured to detect a reflected wave signal originating from the emitter when the base member is placed on the row of teeth;
- a motion sensor affixed to the base member;
- a processor in electronic communication with the receiver and the motion sensor;
- and
- a memory in electronic communication with the processor, wherein the memory comprises program code which, when executed by the processor, configures the processor to:
- detect an event from data received from the motion sensor based on a determination that the data received from the motion sensor is indicative of motion exceeding a kinematic threshold;
- responsive to a detection of the event from the data received from the motion sensor, determine from data received from the receiver whether the base member is properly engaged on the teeth;
- in the case in which the base member is determined to not be properly engaged on the teeth, reject the event indicated by the data received from the motion sensor as being a non-impact event, and
- in the case in which the base member is determined to be properly engaged on the teeth, determine from the data received from the motion sensor that an on-body event has occurred, and classify the on-body event as a head impact based on frequency domain features of the data from the motion sensor.
8 more elements
A device for motion event classification, comprising:
- a base member;
- an engagement sensor affixed to the base member;
- a motion sensor affixed to the base member;
- a processor in electronic communication with the engagement sensor and the motion sensor;
- and
- a memory in electronic communication with the processor, wherein the memory comprises program code which, when executed by the processor, configures the processor to:
- detect a first event from data received from the motion sensor based on a determination that the data received from the motion sensor during the first event is indicative of motion exceeding a kinematic threshold;
- responsive to a detection of the first event, determine from data from the engagement sensor whether the base member is properly engaged or not properly engaged during the first event;
- classify the first event as an on-body event based on a determination that the base member is properly engaged during the first event, and based on frequency domain features of the data received from the motion sensor during the first event;
- detect a second event from data received from the motion sensor based on a determination that the data received from the motion sensor during the second event is indicative of motion exceeding the kinematic threshold;
- responsive to a detection of the second event, determine from data from the engagement sensor whether the base member is properly engaged or not properly engaged during the second event;
- and
- classify the second event as a non-impact event based on a determination that the base member is not properly engaged during the second event.
10 more elements
A method of impact detection, comprising:
- receiving at a processor, from an impact detection device coupled to the processor, placement data of the impact detection device relative to a human body during an event and motion data of the impact detection device during the event;
- the processor classifying the event as one of either an on-body, impact event or a non-impact event based on a combination of the placement data and the motion data, and further classifying the on-body impact event based on frequency domain features of the motion data;
- wherein classifying the event comprises:
- detecting the event from the motion data by determining that the motion data exceeds a kinematic threshold;
- responsive to detecting the event, determining from the placement data whether the impact detection device is properly engaged;
- and
- rejecting the motion data related to the event when it is determined that the impact detection device is not properly engaged.
4 more elements
Dependencies are inferred from the claim text.