Directional Haptic Feedback for Better Vibration Power Recovery
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Solution Overview
Problem
Haptic feedback power recovery from haptic devices is limited by the positioning and direction of power recovery devices relative to the haptic feedback sources, particularly in multi-device ecosystems where devices are in constant motion, necessitating dynamic management to optimize energy harvesting.
Innovation Solution
A system that identifies and dynamically monitors haptic devices and power recovery devices, predicts power recovery based on position and distance, and adjusts the direction of haptic feedback to maximize energy capture, recommending optimal device positioning to users for improved power recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power recovery devices are positioned close to haptic feedback sources, then power recovery efficiency is improved, but device portability and user mobility are worsened
Solution Approach 1:
The system dynamically adjusts the direction of haptic feedback in real-time based on the relative positions and orientations of haptic devices and power recovery modules. This allows the haptic feedback to be continuously directed toward the power recovery module regardless of device movement, maintaining optimal power recovery efficiency while preserving user mobility without requiring fixed positioning
2Use of energy by moving object
If multiple power recovery devices are deployed to improve power recovery, then system complexity increases
Solution Approach 1:
The system automatically identifies haptic devices and power recovery modules, monitors their positions and orientations, and dynamically adjusts haptic feedback direction without requiring manual configuration or complex user intervention. This self-managing approach handles multiple devices efficiently while keeping the system relatively simple to operate
3Use of energy by moving object
If haptic feedback direction is dynamically adjusted to optimize power recovery, then power recovery efficiency is improved, but control complexity is worsened
Solution Approach 1:
The system continuously monitors the positions and orientations of haptic devices and power recovery modules, uses this feedback to predict optimal haptic feedback directions, and dynamically adjusts the haptic feedback accordingly. This closed-loop feedback mechanism automates the complex control task, achieving optimal power recovery without requiring complex manual control
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
Enhances power recovery efficiency by optimizing the exposure of power recovery modules to haptic feedback, allowing for real-time adjustments in haptic feedback direction and type to improve energy harvesting in dynamic user environments.
Implementation Method 1
Power recovery devices may be devices designed to capture input power as it escapes a system, preventing the energy from being released back to nature and instead keeping it within the system to be used for other forms of work. Some haptic-enabled devices use vibrations, and of those many use a type of eccentric rotating mass (ERM), a linear resonant actuator (LRA), or a piezoelectric actuator to create these vibrations.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for recovering power from haptic feedback is provided. The present invention may include identifying one or more haptic devices and one or more power recovery devices associated with a user; dynamically monitoring a position and distance of the one or more haptic devices and the one or more power recovery devices; predicting how much power can be recovered by the one or more power recovery devices from haptic feedback generated by the one or more haptic devices based on the position and distance; and change a direction of haptic feedback based on the prediction, position, and distance.