DUBLIN--(BUSINESS WIRE)--The "China Automotive Gesture Interaction Development Research Report, 2022-2023" report has been added to ResearchAndMarkets.com's offering.

In 2022, the installations rocketed by 315.6% year on year.

China Automotive Gesture Interaction Development Research Report, 2022-2023 analyzes and studies four aspects: gesture interaction technology, benchmarking vehicle gesture interaction solutions, gesture interaction industry chain, and gesture interaction solution providers.

Six gesture recognition technology routes.

From the perspective of technology route, gesture recognition technologies are led by 3D camera based structured light, ToF, stereo imaging, radar-based millimeter wave, ultrasonics, and bioelectricity-based myoelectricity.

In current stage, 3D camera based gesture sensing prevails among vehicle gesture recognition technology routes. The technology route consists of 3D camera and control unit. Composed of camera, infrared LED and sensor, the 3D camera is used to capture hand movements, and then recognize the type of gestures via corresponding image processing algorithms and issue relevant instructions. The 3D camera based technology route can be subdivided into structured light, ToF and stereo vision.

Structured light technology refers to a solution where the light with coded information is projected onto the human body, the infrared sensor collects the reflected structural pattern, and finally the processor builds a 3D model. With benefits of mature hardware, high recognition accuracy and high resolution, it is applicable to close-range scenarios within 10 meters. The gesture recognition carried by Neta S rolled out in July 2022 is a structured light solution.

ToF technology, namely, time-of-flight (ToF) based ranging, is enabled with 3D images constructed by the underlying photosensitive elements. It can obtain effective and real-time depth information within 5 meters. With the applicability to a wider range of scenarios, it acquires effective depth of field information regardless of whether the ambient light is strong (e.g., sunlight) or weak. The gesture recognition solutions installed in production models like BMW iX, Li Auto L9 and new ARCFOX ?S HI Edition are all ToF solutions.

To ensure gesture recognition and control by occupants, Li Auto L9 has gesture recognition sensors installed in the fore cabin and rear cabin. The fore cabin sensor is located above the interior rearview mirror, and the rear one lies above the rear entertainment screen.

Stereo imaging technology based on the parallax principle is enabled with 3D geometric information of objects that is obtained from multiple images. This technology is a cost-effective solution posing low requirements for hardware and needing no additional special device. The gesture recognition solution carried by the Mercedes-Benz EQS launched in May 2022 is a stereo imaging solution.

Currently gesture recognition technologies such as radar-based millimeter wave, ultrasonics, and bioelectricity-based myoelectricity have yet to be used widely in in-cabin gesture recognition functions. Compared with conventional vision-based gesture recognition, these technologies still have some limitations and pose challenges.

Radar is a radio wave sensor that enables accurate detection of the position and movements of hands even in the presence of obstacles.

In 2020, Ainstein, the American subsidiary of Muniu Technology, together with ADAC Automotive established a joint venture brand - RADAC. At the CES 2020, Ainstein introduced a radar-based vehicle gesture recognition solution. The gesture recognition sensor in this solution lies on the top of the tailgate, allowing users to open the door by swiping hand to left and right.

Ultrasonic radar. In February 2020, DS showcased the Aero Sport Lounge concept car at the Geneva International Motor Show. Integrating Leap Motion and Ultrahaptics technologies, this car can easily recognize and understand every gesture made by occupants, and give haptic feedback to them through the stereo ultrasonic waves emitted by the micro-speaker.

Bioelectricity refers to the electric signals generated by human muscular movements. Bioelectric sensors can recognize gestures and movements by measuring these signals. At present, the bioelectricity-based myoelectric gesture recognition technology is more used to control external devices and interaction interfaces, such as prosthetics, virtual reality and gaming devices.

Thalmic Labs, a Canadian company dedicated to developing smart gesture control products, introduced the first wearable device, the MYO armband, which uses myoelectricity technology. The eight myoelectric sensors embedded in the armband record the electric signals of arm muscles, and recognize different gestures by analyzing these signals. In the actual application, users can control drones, computers, smartphones and other electronic devices through the Bluetooth connect of MYO. There are no vehicle use cases at present.

Key Topics Covered:

1 Overview of Gesture Interaction

1.1 Introduction to Gesture Interaction

1.2 Key Features of Gesture Interaction

1.3 Application Scenarios of Gesture Interaction

1.3.1 Mobile Devices

1.3.2 Smart Wearables

1.3.3 Smart Home

1.3.4 Outdoor/Indoor Experience Areas

1.3.5 Automobiles

1.4 Development Route of Automotive Gesture Interaction

1.4.1 Development Route of Gesture Interaction and Intelligent Cockpit

1.4.2 Development Route of Gesture Interaction and Multimodal Interaction

1.4.3 Installation History of Automotive Gesture Interaction

1.4.4 Development History and Trends of Intelligent Cockpit Interaction Scenarios

1.4.5 Development Trends of Gesture Interaction

2 Gesture Interaction Industry Chain

2.1 Types of Gesture Interaction Technology

2.2 Development History of Gesture Interaction Technology by Type

2.3 Gesture Interaction Industry Chain

2.4 Gesture Interaction Algorithm

2.5 Gesture Interaction Solution Providers

2.6 Trends of Gesture Interaction Patent Filings

2.7 TOP10 Companies by Number of Gesture Interaction Patents

3 Gesture Interaction Solutions for Benchmarking Models

3.1 Installation of Vehicle Gesture Recognition

3.1.1 Installations & Installation Rate

3.1.2 Ranking of Brands

3.1.3 Ranking of Vehicle Models

3.1.4 Price Features

3.1.5 Installation of Gesture Function in New Models in 2022

3.1.6 Price Features of New Models in 2022

3.2 Cockpit Interaction Modes and Gesture Interaction Functions of Major Models

3.3 Gesture Interaction Solutions for Benchmarking Models

3.3.1 BMW

3.3.2 Li Auto

3.3.3 ARCFOX

3.3.4 Mercedes-Benz

3.3.5 Neta

3.3.6 RADAC & DS & BYTON

4 Gesture Interaction Solution Providers

4.1 Cipia Vision (Eyesight Technologies)

4.2 Ultraleap (Leap Motion)

4.3 Aptiv

4.4 Cerence Inc.

4.5 Melexis

4.6 SenseTime

4.7 uSens

4.8 Geefish Technology

4.9 iGentAI

5 Appendix: Summary of Automotive Gesture Interaction Patents

5.1 Summary of Gesture Interaction Patents of OEMs

5.2 Summary of Gesture Interaction Patents of Suppliers

5.3 Summary of Gesture Interaction Patents of Research Institutes

5.4 Summary of Gesture Interaction Patents of Colleges and Universities

5.5 Summary of Gesture Interaction Patents of Individuals

For more information about this report visit https://www.researchandmarkets.com/r/1nig7r

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