Human Body Position Recognition via Floor Model
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Solution Overview
Problem
Conventional electronic devices struggle to accurately distinguish between human bodies positioned indoors and outdoors, leading to incorrect operation mode changes and energy inefficiencies, particularly in environments with glass walls where they mistakenly recognize outdoor bodies as indoors.
Innovation Solution
An apparatus and method using sensors to generate output signals based on radiation, with a processor determining the position of human bodies as either indoors or outdoors, and generating control signals to manage electronic devices via wired or wireless networks, employing machine-learning models like neural networks to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional electronic devices use proximity sensors or photographed images to sense human bodies, then they can detect human presence, but they incorrectly recognize outdoor human bodies as indoor bodies especially in glass wall environments
Solution Approach 1:
The patent introduces a floor model as an intermediary representation that mediates between sensor data and human body position recognition. The floor model encodes spatial information about the indoor space boundaries, allowing the system to distinguish whether a detected human body is indoors or outdoors by comparing the body's position against the floor model, thereby resolving the misrecognition problem in glass wall environments
Solution Approach 2:
The patent transitions from two-dimensional image-based detection to three-dimensional spatial reasoning by creating a floor model that represents the indoor space in 3D coordinates. This dimensional transformation enables the system to accurately determine whether a human body is within the indoor space boundaries or outside, solving the ambiguity caused by glass walls that allow visual penetration
2Productivity
If electronic devices operate based on incorrect human presence detection, then they change operation modes unnecessarily, but this leads to energy consumption waste and malfunctions
Solution Approach 1:
The patent implements a feedback mechanism where the floor model and human body position recognition results continuously inform the operation control decisions. By feeding back accurate indoor/outdoor position information to the control system, the device can adjust its operation mode based on actual human presence conditions, avoiding unnecessary operation changes and reducing energy waste from incorrect detection
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
Effectively prevents malfunctions and reduces energy consumption by accurately controlling electronic devices based on human presence, ensuring correct operation modes and aesthetics by differentiating indoor from outdoor human bodies without altering the device's form.
Implementation Method 1
sensing, by a sensor, a first radiation signal incident on the sensor
Data Source
AI summary
A method for controlling, by a controller, an electronic device is provided. The method may include: sensing, by a sensor, a first radiation signal incident on the sensor; generating, by the sensor, a first output signal based on the first radiation signal; recognizing a human body based on the first output signal; determining a position of the human body as being located in one of an indoor space or an outdoor space based on the first output signal; and generating a control signal for controlling the electronic device connected via a wired or wireless network based on the position of the human body. A learning model includes a deep neural network generated through machine learning and transmission of a control signal may be performed in an Internet of Things (IoT) environment using a 5G network.