Sensor Data Filtering and Motion Cueing for Movement Discomfort
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Solution Overview
Problem
Existing techniques for reducing discomfort while using electronic devices during movement are generally ineffective and inefficient, often requiring users to take medication or avoid using devices altogether.
Innovation Solution
Techniques for selectively using sensor data from external devices, modifying communication channels, filtering data, providing motion cues, and requesting data from different devices based on device states and user-specific criteria to enhance comfort during movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If existing techniques are used to reduce discomfort during movement, then users must take medication or avoid using electronic devices, but this reduces usability and convenience
Solution Approach 1:
The patent introduces an intermediary system that includes a motion sensor, processor, and output device positioned between the user and the harmful motion effects. This intermediary detects motion parameters and actively generates counteracting stimuli (visual, auditory, or haptic feedback) to compensate for motion-induced discomfort, allowing users to continue using electronic devices during movement without medication or avoidance behaviors
Solution Approach 2:
The patent implements a closed-loop feedback system where motion sensors continuously monitor movement parameters, the processor analyzes this data in real-time, and output devices deliver corrective feedback to the user. This feedback loop dynamically adjusts to changing motion conditions, providing continuous compensation for motion discomfort throughout the device usage period
2Measurement precision
If sensor data is collected from multiple external devices, then measurement precision improves, but device complexity and data management burden increase
Solution Approach 1:
The patent merges sensor data from multiple external devices (smartwatch, fitness tracker, vehicle sensors) into a unified motion representation. The processor consolidates these separate data streams, filters redundant information, and creates a single integrated motion model that improves measurement precision while managing complexity through data consolidation rather than treating each sensor independently
Solution Approach 2:
The patent creates a universal data processing framework that can handle various types of sensor data from different device categories (wearables, vehicles, smartphones). The system uses common processing algorithms and interfaces for all sensor types, reducing management complexity through standardization while maintaining the ability to leverage diverse measurement sources for improved precision
3Speed
If communication channels are frequently modified to adapt to motion conditions, then responsiveness to motion cues improves, but energy consumption increases
Solution Approach 1:
The patent implements dynamic communication channel selection that adapts to motion conditions. The system monitors motion intensity and automatically switches between different communication protocols or data transmission rates based on current requirements. During high-motion periods, the system uses faster but more energy-intensive communication modes, while during low-motion periods it switches to energy-efficient modes, balancing responsiveness and power consumption
Data Source
AI summary
The present disclosure generally relates to techniques using sensor data. Some techniques are for selectively using sensor data from an external device in accordance with some embodiments. Other techniques are for selectively modifying communication of sensor data in accordance with some embodiments. Other techniques are for filtering external sensor data and internal sensor data in accordance with some embodiments. Other techniques are for selectively providing motion cues based on sensor data in accordance with some embodiments. Other techniques are for requesting sensor data from different devices in accordance with some embodiments. Other techniques are for user-specific motion cueing based on sensor data in accordance with some embodiments.