Gesture recognition is a non-cognitive computing user interface, which enables computers and other smart devices to capture and interpret manual gestures as commands and work accordingly. It is a type of language technology that interprets human gestures through mathematical algorithms. The gestures can originate from any bodily state or motion, but the common parts are hand and face. The modern advancements in the field include emotion recognition from hand and face signals. Users can use simple signals or gestures to interact with the devices or control them without physically touching them. Gestures help to control medical equipment in operating rooms, smart home appliances, reality environments, and complex robotic systems.
Market Dynamics
Artificial intelligence (AI) is an important factor in the gesture recognition market. For instance, in 2018, Microsoft Corporation launched GesturePod, a program that uses artificial intelligence for devices working on augmented reality (AR). This program aids in managing a smartphone without touching or removing it from a bag or pocket. GesturePod can identify gestures with an accuracy rate of 92% and can effectively reduce the time smartphones take originally in carrying out a command.
Major drivers boosting growth of this market are growing digitization across several sectors, advanced user experience, demand for low technical complexities, and increasing demand for connectivity in the automotive sector. Moreover, the combination of various technologies with gesture control is expected to create more opportunities for the market. However, the major restraining factor hindering the growth of the market is the high power consumption of the devices, which are enabled with gesture-control technologies. Making of these devices require a complex framework for the manufacturers and is another factor hindering the market growth.
This market is distributed in five regions that include North America, Europe, Asia Pacific, Middle East, and Africa, and Latin America. Among these, North America is estimated to hold the bigger share of the gesture recognition market, owing to the prevalence of key players in this region such as Apple Incorporation, Microchip Corporation, Microsoft Corporation, and Intel Corporation. These companies are continuously developing technologies related to gesture recognition. For instance, in 2018, Apple Inc. launched a 3D smartphone camera-enabled with Human-machine interaction (HMI) technology, which can be used for depth mapping.
Asia Pacific is estimated to be the fastest emerging region in the gesture recognition market. Countries like India, Japan, and China are focusing on original equipment manufacturers (OEM) to implement gesture recognition technology in their devices such as laptops, smartphones, and cameras.
Competitive Analysis
Major players operating in the global gesture recognition market include Thalmic Labs Inc., Sony Corporation, Pyreos Limited, Microsoft Corporation, Apple Inc., Microchip Technology Incorporated, Leap Motion Incorporation, Jabil Inc., Inter Corporation, GestureTek Inc., Fibaro Group SA, Eyesight Technologies and Elliptic Laboratories A/S.
In March 2020, GWDBI launched HiiDii Glasses, which are gesture control technology-enabled glasses and can help to control devices such as smartphones, computers, and tablets, by tracking the blink of user's eyes. In January 2019, ULTRAHAPTICS introduced STRATOS, which is a platform for automotive gesture recognition.
In-depth Report on Gesture Control Market by Coherent Market Insights:
https://www.coherentmarketinsights.com/market-insight/gesture-recognition-market-4288
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