Predictive Data Reconstruction for Pointing Electronic Devices
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Solution Overview
Problem
Existing pointing electronic devices face challenges in maintaining high processing data rates while reducing power consumption, leading to decreased user experience due to lower sensor output data rates, resulting in jerky cursor movements and reduced accuracy.
Innovation Solution
Incorporating a rate upscaling unit that performs predictive data reconstruction of missing samples to match the processing data rate, ensuring accurate 3D-space movement data is processed at the desired rate, thereby maintaining high user experience and low power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the sensor output data rate is reduced to save power, then power consumption is decreased, but cursor movement becomes jerky and accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and storing motion data samples at low data rates when power savings are needed, then reconstructs the high-rate data stream later using predictive algorithms. This allows the system to prepare data in advance during low-power periods and process it when high accuracy is required, resolving the contradiction between power consumption and measurement precision.
Solution Approach 2:
The system dynamically changes the data rate parameter based on operational requirements. By using predictive reconstruction algorithms, the system can output data at high rates (when accuracy is critical) while processing sensor data at low rates (when power savings are prioritized). This parameter transformation resolves the contradiction by decoupling the sensor output rate from the processing output rate.
2Use of energy by moving object
If the sensor output data rate is reduced to save power, then power consumption is decreased, but user experience deteriorates
Solution Approach 1:
The system performs preliminary data collection and predictive reconstruction in advance, storing intermediate results that can be quickly processed into smooth cursor movements. This allows the system to maintain responsive, high-quality user interaction even when sensors operate at low power consumption levels, thus improving ease of operation without sacrificing power efficiency.
Solution Approach 2:
The predictive reconstruction algorithm acts as an intermediary between the low-rate sensor data and the high-rate display requirements. It transforms the sparse sensor samples into a continuous, smooth data stream that provides excellent user experience, while the sensor itself continues to operate at low power consumption levels.
3Speed
If high processing data rate is maintained, then smooth cursor movement is achieved, but power consumption increases
Solution Approach 1:
The system performs preliminary processing by pre-computing predictive values and storing them for later use. This allows the high processing data rate to be achieved only when necessary for smooth cursor movement, while most of the time the system operates at low power consumption by using pre-computed data, thus resolving the contradiction between speed and power consumption.
Solution Approach 2:
The system uses periodic action by alternating between low-power data collection modes and high-power processing modes. During normal operation, sensors collect data at low rates to save power. When smooth cursor movement is required, the system periodically activates high-rate processing using predictive reconstruction, achieving both energy efficiency and performance when needed.
Data Source
AI summary
A pointing electronic device is provided with: an inertial measurement module, to generate motion input data, indicative of motion of the pointing electronic device, at an input data rate; a pointing determination unit, to implement a pointing algorithm at a processing data rate based on the motion input data, to generate screen-frame displacement data corresponding to 3D-space movements of the pointing electronic device, the processing data rate being higher than the input data rate. The pointing electronic device is further provided with a rate upscaling unit, interposed between the inertial measurement module and the pointing determination unit, to implement a data-rate upscaling of the motion input data, to generate upscaled motion input data to be processed by the pointing determination unit at a data rate matching the processing data rate, via a predictive data reconstruction of missing samples based on the actual motion input data.