Gesture Controller Origin Resetting and Power Reduction
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Solution Overview
Problem
Existing gesture recognition systems for controlling computing devices are costly and complex due to the need for onboard processing units, which increase power consumption and require additional calibration equipment, and can be restrictive for users who find it difficult to perform pre-set gestures.
Innovation Solution
A gesture recognition system with a motion sensor and user actuable gesture mode input that communicates with a computing device for processing and visual feedback, allowing users to redefine the controller's origin position and orientation without recalibration, and enabling personalized gesture control inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a processing unit is provided in the gesture controller to process motion sensor output, then gesture recognition functionality is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent extracts the processing unit from the gesture controller and relocates it to the computing device. The controller retains only the motion sensor and communication unit, while all gesture recognition processing is performed externally by the computing device's processor. This resolves the contradiction by maintaining gesture recognition functionality while eliminating the complexity and cost of an onboard processing unit.
2Adaptability or versatility
If a processing unit is provided in the gesture controller, then gesture recognition is enabled, but power consumption increases
Solution Approach 1:
The processing unit is extracted from the controller and placed in the computing device, eliminating the power consumption associated with running a processing unit in the controller. The controller's battery only needs to power the low-power motion sensor and communication unit, significantly reducing overall power requirements and extending battery life.
3Measurement precision
If calibration equipment is added to correct controller orientation and calibration drift, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system uses the device's existing display and processing capabilities to provide visual feedback and calibration guidance, eliminating the need for separate calibration equipment. The processor analyzes motion sensor data and provides real-time visual feedback on the display to guide users through calibration, making the system self-calibrating using resources already present in the computing device.
Solution Approach 2:
The system implements real-time visual feedback through the display unit, showing users their controller orientation and providing guidance for proper positioning during calibration. This feedback loop enables users to self-correct their orientation without needing external calibration equipment, maintaining measurement precision while avoiding additional complexity.
4Device complexity
If pre-set gestures are required for control, then system operation is simplified, but ease of operation decreases for users with difficulty performing specific gestures
Solution Approach 1:
The system dynamically adapts to user needs by allowing customization of gestures. Users can define their own gestures that match their physical capabilities, and the system learns and adapts to individual user patterns. This dynamic adaptability maintains system simplicity while significantly improving ease of operation for users with various physical abilities.
Solution Approach 2:
The system allows users to modify gesture parameters such as amplitude, speed, and complexity to match their capabilities. By changing these parameters, users can perform gestures that are comfortable for them while the system maintains accurate recognition and control functionality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution simplifies the gesture controller design, reduces power consumption, and allows users to create and use personalized gestures, enhancing usability and security while reducing the complexity and cost of the system.
Implementation Method 1
a motion sensor operable to sense motion of the controller and output a signal indicative thereof
Data Source
AI summary
A gesture recognition system 1 comprises a gesture controller 10 and a computing device 20. The controller 10 is designed to be held by a user such that motion of the controller 10 by the user enables gesture control inputs to be made to computing device 20. In use, a display unit 28 of computing device is operable to provide visible feedback on the motion of controller 10 in the form of a cursor 31, the cursor moving in response to controller 10 motion. The system 1 is operable to enable the cursor 31 position to be reset to an origin 33 in response to a reset input. In addition to resetting the cursor 31 position, the system can define the current orientation of the controller 10 as a new origin orientation.