Non-contact Motion Detection Device Emergency Recognition
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Solution Overview
Problem
Existing motion detection technologies face challenges in accurately recognizing emergencies, such as falls or collisions, especially when the motion is slow or prolonged, leading to delayed or incorrect alarms, which can result in inadequate timely assistance for vulnerable individuals like the elderly or children.
Innovation Solution
A non-contact motion detection method and device that transmits and receives radio frequency signals to process energy responses, determining maintenance time lengths of energy values below preset thresholds to differentiate between events and provide timely alarms, improving recognition accuracy for emergency situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing motion detection technology is used to detect fast motion, then alarm can be provided quickly, but recognition rate for emergency situations is low
Solution Approach 1:
The patent segments the motion detection process into multiple analysis dimensions: energy value analysis, maintenance time length calculation, and energy distribution analysis. By dividing the detection task into these separate analytical components, the system can comprehensively evaluate motion events and improve emergency recognition accuracy while maintaining fast response capability.
Solution Approach 2:
The patent dynamically adjusts detection parameters based on the analyzed characteristics. By calculating maintenance time lengths and comparing energy distributions against preset thresholds, the system adaptively determines whether an event constitutes an emergency, improving recognition reliability without sacrificing detection speed.
2Reliability
If detection threshold is set to be sensitive, then emergency recognition improves, but false alarms increase
Solution Approach 1:
The patent implements a feedback mechanism where the system calculates maintenance time lengths and compares energy distributions against preset thresholds. This multi-stage feedback process allows the system to verify detected events before triggering alarms, improving emergency recognition accuracy while filtering out false alarms through cumulative evidence assessment.
Solution Approach 2:
The patent performs preliminary analysis actions before triggering an alarm. By pre-calculating maintenance time lengths and analyzing energy distributions in advance, the system prepares detection criteria that must be satisfied before an emergency alarm is issued, reducing false alarms while maintaining high emergency detection accuracy.
3Reliability
If detection time window is extended to capture slow motion, then emergency detection improves, but response time increases
Solution Approach 1:
The patent maintains continuous energy value monitoring and calculates maintenance time lengths in real-time as data accumulates. This continuous analysis allows the system to detect slow motions effectively by tracking energy patterns over extended periods without introducing significant delay, as the evaluation is ongoing rather than batch-processed.
Solution Approach 2:
The patent applies partial analysis by focusing on specific energy distribution characteristics and maintenance time lengths rather than analyzing all possible motion parameters. This selective approach enables the system to detect slow motions accurately by concentrating computational resources on the most discriminative features, reducing overall processing time.
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 the accuracy of detecting energy from motion in the field, enabling prompt and correct alarms for emergencies, thereby ensuring timely assistance for individuals in danger.
Implementation Method 1
transmitting a detection signal to a field, and receiving a reflection signal corresponding to the field
Data Source
AI summary
A non-contact motion detection method, a motion detection device and an emergency detection method are provided. The non-contact motion detection method includes: receiving a reflection signal from a field to obtain a raw data signal; determining that a first event occurs in the field according to an energy value of the raw data signal, and providing a first alarm; determining that a second event occurs in the field according to an energy distribution of the reflection signal; and in case of determining that the second event occurs, providing a second alarm corresponding to the second event according to the energy value of the raw data signal.


