INTERMEDIATE MOTION SIGNAL EXTRACTION TO DETERMINE ACTIVITY
First Claim
1. A method comprising:
- receiving data representing a motion sensor signal from a motion sensor disposed in a wearable device;
generating a plurality of intermediate motion signals from the motion sensor signal;
separating the motion sensor signal at a processor to form one or more constituent components; and
identifying an activity based on at least one of the intermediate motion signals and at least one of the one or more constituent components.
10 Assignments
0 Petitions
Accused Products
Abstract
Embodiments of the relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information. More specifically, disclosed are systems, methods, devices, computer readable medium, and apparatuses configured to determine activity and activity types, including gestures, from sensed motion signals using, for example, a wearable device (or carried device) and one or more motion sensors. In some embodiments, a method can include receiving data representing a motion sensor signal from a motion sensor disposed in a wearable device, and generating intermediate motion signals from the motion sensor signal. The method can also include separating the motion sensor signal at a processor to form one or more constituent components, and identifying an activity based on at least one of the intermediate motion signals and at least one of the one or more constituent components.
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Citations
20 Claims
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1. A method comprising:
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receiving data representing a motion sensor signal from a motion sensor disposed in a wearable device; generating a plurality of intermediate motion signals from the motion sensor signal; separating the motion sensor signal at a processor to form one or more constituent components; and identifying an activity based on at least one of the intermediate motion signals and at least one of the one or more constituent components. - View Dependent Claims (2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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5. The method of claim 5, wherein using the one or more estimators comprises:
using at least one maximum likelihood estimator (“
MLE”
).
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16. An apparatus comprising:
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a wearable housing; a motion sensor configured to sense motion associated with the wearable housing and to generate a motion sensor signal; an intermediate motion signal generator configured to receive the motion sensor signal, and further configured to generate intermediate motion signals; and an activity processor configured to identify an activity based on the intermediate motion signals. - View Dependent Claims (17, 18, 19, 20)
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Specification