Gesture Profiles Location Correlation Power Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Smartphones used for gesture detection in geo-fenced areas experience excessive power drain due to the large number of gestures associated with activities like package sorting, inventory control, and baggage handling, which overwhelms their tracking systems.
Innovation Solution
Implementing gesture profiles based on location data, such as x, y, z-coordinates, within an 'always aware location' environment, allowing mobile devices to identify and correlate gestures with specific activities without relying on inertial measurement unit data, thereby reducing the need for continuous communication with servers and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If gesture detection using inertial measurement unit and sensor data is implemented, then gesture detection capability is improved, but power consumption increases excessively
Solution Approach 1:
The patent extracts the gesture detection function from the mobile device's inertial measurement unit and sensors, transferring it to the server. The mobile device only sends location data to the server, which then determines gestures using gesture profiles. This separation removes the computationally intensive gesture detection processing from the mobile device, significantly reducing its power consumption while maintaining gesture detection capability.
Solution Approach 2:
The patent introduces a server as an intermediary between the mobile device and the gesture detection system. The server acts as a mediator that receives location data from the mobile device, compares it against stored gesture profiles, and determines gestures without requiring the mobile device to perform complex local processing. This intermediary approach enables gesture detection while conserving mobile device battery power.
2Measurement precision
If continuous gesture pattern detection is performed, then tracking accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts the complex gesture pattern analysis functionality from the mobile device and relocates it to the server. The mobile device's role is simplified to merely providing location data, while the server handles the complex tasks of comparing location changes against gesture profiles and determining gestures. This extraction reduces mobile device complexity while maintaining tracking accuracy through server-side processing.
3Measurement precision
If frequent server communication is implemented, then gesture identification accuracy is improved, but power consumption increases
Solution Approach 1:
The patent extracts the gesture identification processing from the mobile device, eliminating the need for frequent server communications. The mobile device sends location data to the server, which then independently determines gestures by comparing location changes against stored gesture profiles. This extraction reduces communication frequency and associated power consumption while maintaining accurate gesture identification through server-side analysis.
Data Source
AI summary
In aspects of gesture profiles and location correlation, a mobile device includes a wireless radio system to scan for location data from wireless-enabled devices within communication range of the mobile device. The mobile device implements a profile module to initiate the scan for the location data responsive to motion of the mobile device, and can determine from the location data, location coordinates corresponding to locations of the mobile device before and after the scan. The profile module can determine gesture profiles of gestures corresponding to a location of the mobile device, identify the gestures that occur at the location of the mobile device based on the determined gesture profiles, and correlate the identified gestures of the gesture profiles with the location of the mobile device.