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US 10,327,670 B2Granted
Systems, methods and devices for exercise and activity metric computation
AssigneeGestureLogic Inc.
InventorsSeyed Ali Etemad, Roshanak Houmanfar, Mark Klibanov, Leonard MacEachern, Kaveh Firouzi
Life of this patent
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Abstract
Systems, methods and devices that facilitate determination of enhanced exercise or physical activity metrics by considering multiple types of data. Metrics are computable by pre-processing, and in some cases segmenting, a variety of input signals, such as acceleration signals, electromyography signals or other signals from a wearable device.
Claims16
A method of determining exercise metrics in real-time for a user's body using a wearable device, the method comprising:
- receiving a plurality of signals from at least one sensor of the wearable device while the user is performing an exercise activity, wherein the at least one sensor comprises an accelerometer and a plurality of EMG sensors, and wherein the plurality of signals comprises acceleration signals and EMG signals;
- pre-processing the plurality of signals to generate a plurality of pre-processed signals;
- using a processor, discriminating the plurality of pre-processed signals to generate a plurality of signal segments for each of the plurality of pre-processed signals, wherein generating the plurality of signal segments comprises generating a plurality of feature vectors based on the plurality of pre-processed signals, wherein each feature vector comprises a plurality of feature values, and wherein each feature vector is associated with a time step of the pre-processed signals;
- using the processor, temporally correlating a first plurality of signal segments from the plurality of signal segments, the first plurality of signal segments based on acceleration signals, with a second plurality of signal segments from the plurality of signal segments, the second plurality of signal segments based on EMG signals;
- computing at least one exercise metric while the user is performing the exercise activity based on the first and second plurality of signal segments as temporally correlated;
- and
- outputting, via at least one of a display of the wearable device and a haptic feedback module of the wearable device, real-time feedback regarding the at least one exercise metric based on the computing.
4 more elements
A wearable device for determining exercise metrics in real-time for a user's body, the wearable device comprising:
- at least one sensor positionable on the user's limb;
- an output module comprising at least one of a display and a haptic feedback module;
- and
- a processor operatively coupled to the at least one sensor and the output module, the processor configured to:
- receive a plurality of signals from at least one sensor of the wearable device while the user is performing an exercise activity;
- pre-process the plurality of signals to generate a plurality of pre-processed signals;
- discriminate the plurality of pre-processed signals to generate a plurality of signal segments for each of the plurality of pre-processed signals, wherein generating the plurality of signal segments comprises generating a plurality of feature vectors based on the plurality of pre-processed signals, wherein each feature vector comprises a plurality of feature values, and wherein each feature vector is associated with a time step of the pre-processed signals;
- temporally correlate a first plurality of signal segments from the plurality of signal segments, the first plurality of signal segments based on acceleration signals, with a second plurality of signal segments from the plurality of signal segments, the second plurality of signal segments based on EMG signals;
- compute at least one exercise metric while the user is performing the exercise activity based on the first and second plurality of signal segments as temporally correlated;
- output, via the output module, real-time feedback regarding the at least one exercise metric based on the computing.
7 more elements
A non-transitory computer readable medium storing computer-executable instructions, which, when executed by a computer processor, cause the computer processor to carry out a method of determining exercise metrics in real-time for a user's body using a wearable device, the method comprising:
- receiving a plurality of signals from at least one sensor of the wearable device while the user is performing an exercise activity;
- pre-processing the plurality of signals to generate a plurality of pre-processed signals;
- discriminating the plurality of pre-processed signals to generate a plurality of signal segments for each of the plurality of pre-processed signals, wherein generating the plurality of signal segments comprises generating a plurality of feature vectors based on the plurality of pre-processed signals, wherein each feature vector comprises a plurality of feature values, and wherein each feature vector is associated with a time step of the pre-processed signals;
- temporally correlating a first plurality of signal segments from the plurality of signal segments, the first plurality of signal segments based on acceleration signals, with a second plurality of signal segments from the plurality of signal segments, the second plurality of signal segments based on EMG signals;
- computing at least one exercise metric while the user is performing the exercise activity based on the first and second plurality of signal segments as temporally correlated;
- and
- outputting, via at least one of a display of the wearable device and a haptic feedback module of the wearable device, real-time feedback regarding the at least one exercise metric based on the computing.
4 more elements
Dependencies are inferred from the claim text.