In-Cabin Wi-Fi Gesture Sensing for Precise Vehicle Control

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Solution Overview

Problem

Current vehicle control systems using IT technology, such as gesture recognition, face limited in precision and functionality, particularly in distinguishing passengers and controlling vehicle components based on specific gestures or conditions without comprehensive sensing capabilities.

Innovation Solution

A control apparatus and method utilizing a Wi-Fi communication module, processor, and sensors to transmit and analyze signals for gesture recognition, facial expression, and passenger condition detection, enabling precise control of vehicle components through beamforming techniques and multi-frequency communication, integrating light, motion, and infrared sensors for enhanced accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If gesture recognition technology is used to control vehicle components, then convenience is improved, but measurement precision is insufficient for distinguishing specific gestures and passenger conditions

Engineering Contradiction:
Improveconvenience of vehicle controlVSAvoidprecision of gesture and passenger condition detection
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent combines multiple sensing technologies (Wi-Fi communication module for gesture recognition, light intensity sensors, motion sensors, infrared sensors, and cameras) into an integrated control apparatus. This merging of multiple sensing modalities enables comprehensive detection of passenger conditions and gestures with high precision, resolving the contradiction between ease of operation and measurement precision.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a processor as an intermediary that receives and analyzes signals from multiple sensors, including reflection signals from the Wi-Fi communication module and sensing signals from various detectors. This intermediary processing layer enables precise differentiation of gestures and passenger conditions, transforming raw sensor data into accurate control commands while maintaining user convenience.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive sensing capabilities are added to distinguish passengers and control vehicle components, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveprecision of passenger condition and gesture detectionVSAvoidcomplexity of control system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The Wi-Fi communication module serves multiple functions: it provides wireless communication capabilities and simultaneously acts as a gesture recognition sensor by analyzing reflection signals. This multi-functionality reduces the need for separate dedicated sensors, thereby maintaining measurement precision while reducing overall device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The control apparatus is segmented into distinct functional modules (Wi-Fi communication module, light intensity sensor, motion sensor, infrared sensor, camera, processor, and controller), each responsible for specific sensing or processing tasks. This modular segmentation allows the system to achieve comprehensive detection capabilities while managing complexity through organized, independent functional units that can be developed and maintained separately.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If beamforming technique is used to transmit signals to specific positions, then measurement precision is improved for gesture recognition, but use of energy increases

Engineering Contradiction:
Improveprecision of gesture pattern acquisitionVSAvoidenergy consumption of signal transmission
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The beamforming technique concentrates transmission energy into focused directional beams targeting specific positions where passengers are located, rather than distributing energy uniformly in all directions. This local concentration of energy achieves high-precision gesture recognition at the target location while minimizing energy waste in other areas, thus resolving the contradiction between measurement precision and energy consumption.

Inventive Principle:
Principle #3Local quality

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 precise detection and control of vehicle functions based on passenger conditions and gestures, improving safety and convenience by recognizing specific patterns and emotions, personalizing vehicle settings, and providing tailored entertainment for passengers.

Implementation Method 1

receive a reflection signal reflected from an object in response to the transmission signal

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 2

The Wi-Fi communication module may be further configured to form the transmission signal by a beamforming method using a plurality of antennas

Methodology Applied
Scientific EffectBeamforming:

Data Source

PatentUS11964650B2Apparatus and method for controlling vehicle
Publication Date: 2024.04.23 SAMSUNG ELECTRONICS CO LTD
  • US11964650B2 patent drawing
  • US11964650B2 patent drawing
  • US11964650B2 patent drawing

AI summary

A control apparatus includes a Wi-Fi communication module, a processor, a controller that controls a component of a vehicle, and a memory, wherein the memory stores at least one piece of position information corresponding to a position in the vehicle, and at least one registered pattern of a gesture, face, or shape, the Wi-Fi communication module transmits a transmission signal to the position corresponding to the at least one piece of position information by a Wi-Fi communication method at a preset frequency and receives a reflection signal reflected from an object in response to the transmission signal, the processor acquires an input pattern of a gesture, face, or shape of the object by analyzing the reflection signal, and retrieves a registered pattern matching the input pattern from the at least one registered pattern, and the controller controls the component according to an instruction corresponding to the retrieved registered pattern.