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Motion gestures based Power and Scanning optimizations for Wearable Devices

IP.com Disclosure Number: IPCOM000246572D
Publication Date: 2016-Jun-17
Document File: 1 page(s) / 69K

Publishing Venue

The IP.com Prior Art Database

Abstract

In a forearm wearable device, forearm raise and forearm drop gestures can be detected through built-in motion sensors like accelerometers and gyroscopes within the device. Once the forearm drop gesture is detected, the device is set to a low power state to reduce power consumption. When the forearm is raised, the gesture system detects the movement and enters a high power, operational mode within the device. In addition, depending on user scenarios, the gesture can automatically trigger the scanner allowing the user to scan without needing to press the scanner trigger button.

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Motion gestures based Power and Scanning optimizations for Wearable Devices

Enterprise mobile devices need to run a full work shift without replacing or recharging the battery. Automatic power management of a mobile computer is essential to minimize power consumption without user intervention. In a wearable mobile computer, even when the user is not using the device, the device is still in a high powered, operational state until the power management places the device into a lower powered state due to a traditional inactivity based time-out. For a forearm wearable device, when the hand is dropped down, it's a clear indication that the user is not currently using the device, but traditional power management systems are unable to detect and react to this position.

Wearable devices may be designed for expedited scanning or imaging. With today's scanning technology, scanner hardware and software is prepared to scan when the user presses the scanning button. This takes substantial time to get the scanner hardware in a functional state from low power state and then to decode and represent data.

The following is an idea for power management and speeding up scanning process based on motion of wearable mobile computers without user intervention.

In a forearm wearable device, forearm raise and forearm drop gestures can be detected through built-in motion sensors like accelerometers and gyroscopes within the device. Once the forearm drop gesture is detected, the device is s...