# US 2014/0194782 A1 · Power management in a data-capable strapband

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- Number: US 2014/0194782 A1
- Document ID: US20140194782A1
- Status: Published application
- Kind: A1
- Application number: 14/105,172
- Filed: 2013-12-12
- Published: 2014-07-10
- Earliest claimed: 2011-06-10
- Assignees: AliphCom
- Inventors: Hosain Sadequr Rahman; Richard Lee Drysdale; Michael Edward Smith Luna; Scott Fullam; Travis Austin Bogard; Jeremiah Robison; Max Everett Utter, II; Thomas Alan Donaldson
- Web page: https://patentgrep.com/patent/US20140194782A1

## CPC

- G06F 1/3296: by lowering the supply or operating voltage
- A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)}
- A61B 5/0004: {characterised by the type of physiological signal transmitted}
- A61B 5/0008: {Temperature signals}
- A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet}
- A61B 5/01: Measuring temperature of body parts {; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue} (clinical contact thermometers G01K13/20)
- A61B 5/02438: {with portable devices, e.g. worn by the patient}
- A61B 5/1112: {Global tracking of patients, e.g. by using GPS}
- A61B 5/1118: {Determining activity level}
- A61B 5/112: {Gait analysis}
- A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement}
- A61B 5/14542: {for measuring blood gases (A61B5/14551 takes precedence)}
- A61B 5/411: {Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance}
- A61B 5/4806: {Sleep evaluation (A61B5/4821 takes precedence; devices for inducing sleep A61M21/02)}
- A61B 5/6801: {specially adapted to be attached to or worn on the body surface}
- A61B 5/6802: {Sensor mounted on worn items}
- A61B 5/7455: {characterised by tactile indication, e.g. vibration or electrical stimulation}
- G01K 13/20: Clinical contact thermometers for use with humans or animals
- G06F 1/08: Clock generators with changeable or programmable clock frequency
- G16H 40/67: for remote operation
- A61B 5/0006: {ECG or EEG signals}
- A61B 5/6814: {Head}
- A61B 5/6822: {Neck}
- A61B 5/6823: {Trunk, e.g., chest, back, abdomen, hip}
- A61B 5/6824: {Arm or wrist}
- A61B 5/6828: {Leg}
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G01K: MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR (radiation pyrometry G01J5/00)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

Embodiments of the invention relates generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and more specifically to structures and techniques for managing power generation, power consumption, and other power-related functions in a data-capable strapband, including receiving input from one or more sensors coupled to a wearable computing device, processing the input to determine a pattern, the pattern indicating a threshold clock frequency, and operating a processor coupled to the wearable computing device at a clock frequency above the threshold clock frequency.

## Claims

### Claim 1

A method, comprising:
receiving input from one or more sensors coupled to a wearable computing device;
processing the input to determine a pattern, the pattern indicating a threshold clock frequency; and
operating a processor coupled to the wearable computing device at a clock frequency above the threshold clock frequency.

### Claim 2 (depends on 1)

The method of claim 1, wherein the input comprises motion data.

### Claim 3 (depends on 1)

The method of claim 1, wherein the input comprises environmental characteristics.

### Claim 4 (depends on 1)

The method of claim 1, wherein the pattern comprises a mode of operation.

### Claim 5 (depends on 1)

The method of claim 1, wherein the input comprises biometric data, and the pattern comprises sleep activity.

### Claim 6 (depends on 1)

The method of claim 1, wherein the input comprises a distance between an end portion of the wearable computing device and another end portion of the wearable computing device.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
receiving data indicating a sensor load of the one or more sensors, the sensor load indicating another threshold clock frequency; and
operating the processor at a clock frequency above the threshold clock frequency and the another threshold clock frequency.

### Claim 8 (depends on 1)

The method of claim 1, further comprising:
receiving data indicating a level of power stored in a battery coupled to the wearable computing device;
determining whether the level of power stored is below a threshold level; and
shutting off one of the one or more sensors if the level of power stored is below the threshold level.

### Claim 9 (depends on 1)

The method of claim 1, further comprising:
receiving data indicating a rate of power consumed by one of the one or more sensors;
determining whether the rate of power consumed is above a threshold rate; and
shutting off the one of the one or more sensors if the rate of power consumed is above the threshold rate.

### Claim 10 (depends on 1)

The method of claim 1, wherein the pattern further indicates a priority scheme, and further comprising executing one or more applications comprising executable instructions based on the priority scheme.

### Claim 11 (depends on 1)

The method of claim 1, wherein the pattern further indicates a subset of the one or more sensors, and further comprising shutting off a sensor not within the subset of the one or more sensors.

### Claim 12

A wearable computing device, comprising:
one or more sensors coupled to the wearable computing device;
an inference engine configured to process input received from the one or more sensors to determine a pattern, the pattern associated with a clock frequency;
a power clock controller configured to operate a processor coupled to the wearable computing device at the clock frequency.

### Claim 13 (depends on 12)

The wearable computing device of claim 12, wherein the input comprises biometric data.

### Claim 14 (depends on 12)

The wearable computing device of claim 12, wherein the one or more sensors comprise an accelerometer.

### Claim 15 (depends on 12)

The wearable computing device of claim 12, further comprising a power manager configured to determine whether a level of power stored in a battery coupled to the wearable computing device is below a threshold level and to reduce power to one of the one or more sensors if the level of power stored is below the threshold level.

### Claim 16 (depends on 12)

The wearable computing device of claim 12, further comprising a power manager configured to determine whether a rate of power consumed by one of the one or more sensors is above a threshold rate and to reduce power to the one of the one or more sensors if the rate of power consumed is above the threshold rate.

### Claim 17 (depends on 12)

The wearable computing device of claim 12, wherein the pattern is further associated with a priority scheme, and further comprising a power manager configured to execute one or more applications comprising executable instructions based on the priority scheme.

### Claim 18 (depends on 12)

The wearable computing device of claim 12, wherein the pattern is further associated with a subset of the one or more sensors, and further comprising a power manager configured to reduce power to a sensor not within the subset of the one or more sensors.

### Claim 19

A computer program product embodied in a computer readable medium and comprising instructions for:
receiving input from one or more sensors coupled to a wearable computing device;
processing the input to determine a pattern, the pattern indicating a clock frequency; and
operating a processor coupled to the wearable computing device at the clock frequency.