Gesture-Detected Lock Security Using Dual-Sensor Motion Data
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Solution Overview
Problem
Existing locks can be violently broken or compromised by forgotten keys, and digital password locks pose security risks if the password is cracked.
Innovation Solution
A lock system utilizing angular and acceleration sensors to detect human body gestures for unlocking, converting sensor data into sequences, comparing against a preset reference, and controlling a motor to open the lock when the difference is within a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional key locks are used, then the structure is simple and reliable, but the lock can be violently broken or compromised
Solution Approach 1:
The patent replaces the traditional mechanical key lock system with a gesture recognition system using sensors (accelerometer, gyroscope, magnetometer) and processing units. The mechanical key insertion and turning actions are substituted with wireless gesture detection in three-dimensional space, eliminating the physical key component while maintaining security through biometric-like gesture verification.
Solution Approach 2:
The lock system integrates multiple sensor types (accelerometer for linear acceleration, gyroscope for angular velocity, magnetometer for magnetic field orientation) to composite detect gesture data from multiple dimensions. This multi-sensor fusion creates a comprehensive gesture signature that is difficult to replicate, enhancing security while managing system complexity through integrated sensor modules.
2Ease of operation
If digital password locks are used, then the operation is convenient, but the password may be cracked affecting security
Solution Approach 1:
The patent transitions from two-dimensional password input (keyboard typing) to three-dimensional gesture recognition in spatial coordinates. The gesture data includes x, y, z position coordinates, acceleration values, angular velocity, and magnetic field orientation, creating a multi-dimensional authentication space that is significantly harder to crack while maintaining ease of operation through natural hand movements.
Solution Approach 2:
The lock system uses dynamic gesture recognition that captures real-time motion characteristics including acceleration patterns, angular velocity changes, and magnetic field variations during the gesture execution. This dynamic verification process adapts to the user's natural movement patterns while detecting anomalies that indicate attempted spoofing, providing both convenience and security.
3Reliability
If gesture detection with multiple sensors is used, then the security is enhanced, but the device complexity increases
Solution Approach 1:
The patent implements a multi-functional processing unit that handles data acquisition from multiple sensor types, converts raw sensor data into standardized gesture parameters, performs authentication verification, and controls the locking mechanism. This universal processor integrates multiple functions into a single component, reducing overall system complexity while maintaining high gesture recognition accuracy through comprehensive sensor utilization.
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 lock intelligence and security by ensuring correct gesture recognition, preventing unauthorized access, and eliminating the need for physical keys or vulnerable digital passwords.
Implementation Method 1
an angular acceleration sensor... in response to the movement of the user's hand, the angular acceleration sensor detects a series of angular acceleration values
Implementation Method 2
an acceleration sensor... in response to the movement of the user's hand, the acceleration sensor detects a series of acceleration values
Data Source
AI summary
This application provides a solution for a lock system based on gesture detection. In this solution, the lock system includes an angular acceleration sensor, an acceleration sensor, a processor, a drive motor, and a lock. During the unlocking process, firstly, in response to the movement of the user's hand, the angular acceleration sensor detects a series of angular acceleration values; in response to the movement of the user's hand, the acceleration sensor detects a series of acceleration values. Then, the processor receives a series of angular acceleration values and a series of acceleration values; the processor converts the received series of angular acceleration values and a series of acceleration values into a first data sequence and a second data sequence respectively; the processor converts the first data sequence and the second data sequence. The data sequence is combined into a third data sequence. Finally, the processor determines the difference between the third data sequence and the preset reference data sequence; when the difference is less than the preset threshold, the processor controls the drive motor to open the lock.