Radar Gesture Recognition Using Channel Impulse Response Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing methods for interacting with electronic devices, such as graphical user interfaces, can be cumbersome and inefficient, especially when physical touch is not feasible or desired, and camera-based gesture recognition solutions face issues with privacy concerns and lighting conditions.

Innovation Solution

The use of radar technology, specifically ultra-wideband (UWB) radar, for activity detection and recognition, which transmits signals and processes reflections to identify gestures without the need for physical touch or direct camera monitoring, using a processor to analyze channel impulse responses and apply machine learning for accurate detection and classification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If camera-based gesture recognition is used, then gesture detection capability is improved, but privacy concerns and lighting condition sensitivity worsen

Engineering Contradiction:

Improvegesture detection capabilityVSAvoidprivacy concerns and lighting sensitivity

Core Design Contradiction:

Difficulty of detecting and measuringVSObject-affected harmful factors

Solution Approach 1:

The patent replaces camera-based optical detection with radar-based electromagnetic wave detection. The radar system transmits electromagnetic signals and analyzes reflections to detect gestures, eliminating the need for visual capture and thus resolving privacy concerns and lighting sensitivity issues while maintaining gesture detection capability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the detection parameter from optical (camera) to electromagnetic (radar). By using radar signals at different frequencies and analyzing channel impulse responses, the system achieves gesture detection without being affected by lighting conditions or privacy concerns

Inventive Principle:

Principle #35Parameter changes

2Productivity

If traditional GUI interaction is used, then device control functionality is improved, but user convenience and efficiency worsen

Engineering Contradiction:

Improvedevice control efficiencyVSAvoiduser convenience

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The patent replaces mechanical interaction (touching screens, using keyboards or mice) with contactless radar-based gesture recognition. Users can control devices through hand movements detected by radar, improving convenience and efficiency especially when physical contact is not feasible

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces radar signals as an intermediary between the user and the device. The radar system captures gesture information and translates it into control commands, providing a natural and convenient interface that bridges physical movement and digital control

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If radar signals are transmitted for activity recognition, then gesture detection accuracy is improved, but power consumption increases

Engineering Contradiction:

Improvegesture detection accuracyVSAvoidpower consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent uses periodic radar signal transmission with configurable intervals. The system can adjust the transmission frequency and duty cycle to balance detection accuracy with power consumption, transmitting signals only when needed rather than continuously

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The patent processes only the necessary portion of radar signal data by analyzing channel impulse responses and extracting relevant features. This selective processing approach maintains detection accuracy while reducing computational power consumption

Inventive Principle:

Principle #16Partial or excessive action

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 and privacy-respecting gesture recognition that works in various lighting conditions, reducing power consumption and minimizing latency and false alarms, allowing users to interact with devices without physical contact.

Implementation Method 1

The use of radar technology, specifically ultra-wideband (UWB) radar, for activity detection and recognition, which transmits signals and processes reflections

Methodology Applied

Scientific EffectRadar: Radar

Implementation Method 2

transmits signals and processes reflections to identify gestures

Methodology Applied

Scientific EffectReflection: Reflection

Data Source

PatentUS20230039849A1Method and apparatus for activity detection and recognition based on radar measurements

Publication Date: 2023.02.09 SAMSUNG ELECTRONICS CO LTD

AI summary

An electronic device includes a transceiver and a processor. The processor is operably connected to the transceiver. The processor is configured to transmit, via the transceiver, radar signals for activity recognition. The processor is also configured to identify a first set of features and a second set of features from received reflections of the radar signals, the first set of features indicating whether an activity is detected based on power of the received reflections. Based on the first set of features indicating that the activity is detected, the processor is configured to compare one or more of the second set of features to respective thresholds to determine whether a condition is satisfied. After a determination that the condition is satisfied, the processor is configured to perform an action based on a cropped portion of the second set of features.