3D Motion Remote Control for Gesture-Based Data Transfer
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Solution Overview
Problem
Existing hand-held devices for controlling consumer electronics lack an efficient mechanism for generating commands and transferring data between devices, particularly in interpreting user motions as commands for complex data operations.
Innovation Solution
A hand-held device capable of detecting and interpreting user motions, such as gestures, to generate commands and transfer data between itself and consumer electronic devices, using a motion detection subsystem with accelerometer sensors and infrared communication, allowing users to train custom motions for specific commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional button-based control methods are used, then device complexity is low, but command generation efficiency and user interaction naturalness deteriorate
Solution Approach 1:
The patent replaces mechanical button presses with motion-based control using accelerometers and gyroscopes to detect user gestures. The motion detection subsystem captures three-axis acceleration data and orientation information, converting physical movements into control commands without requiring mechanical buttons or switches.
Solution Approach 2:
The system changes the control parameter from discrete button states to continuous motion parameters including acceleration magnitude, direction, and temporal patterns. By analyzing multiple parameters simultaneously (acceleration vectors, gesture duration, motion trajectories), the system generates commands more efficiently while maintaining manageable complexity through parameter integration.
2Ease of operation
If motion detection capabilities are added to enable gesture-based control, then command generation efficiency improves, but device complexity increases
Solution Approach 1:
The motion detection subsystem serves multiple functions: detecting basic directional inputs, recognizing complex gestures, determining device orientation, and enabling training mode for custom gestures. By consolidating these diverse functions into a single motion-based system, the patent improves ease of operation without proportionally increasing complexity.
Solution Approach 2:
The system includes an automated training mode where the remote control learns user-specific gestures through repeated detection and pattern recognition. The device automatically stores gesture patterns and associates them with commands, eliminating the need for manual programming and reducing the burden on users while managing system complexity through adaptive learning.
3Adaptability or versatility
If data transfer capabilities are integrated into the hand-held device, then functionality between devices improves, but ease of operation for data operations deteriorates
Solution Approach 1:
The system performs preliminary actions by automatically detecting when data transfer is needed based on gesture context and device state. The motion-based interface pre-selects transfer operations and initiates data operations through intuitive gestures, eliminating the need for users to navigate complex menus and manually configure transfer parameters.
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
Enables efficient command generation and data transfer between hand-held and consumer electronic devices, supporting both basic and complex operations like data transfer, with the ability to identify and execute user-defined gestures for seamless interaction.
Implementation Method 1
The motion of the device can include gestures made by the user while holding the device
Implementation Method 2
infrared communication
Data Source
AI summary
A hand held device for generating commands and transferring data between the hand-held device and a base device (including consumer electronic equipment). The hand-held device detects the motion of the device itself, interpreting the motion as a command, and executing or transferring the command. The motion of the device can include gestures made by the user while holding the device, such as the motion of throwing the hand-held device toward a base device. The commands generated by the user range from basic on/off commands to complex processes, such as the transfer of data. In one embodiment, the user can train the device to learn new motions associated with existing or new commands. The hand-held device analyzes the basic components of the motion to create a motion model such that the motion can be uniquely identified in the future.