Gesture
recognition is renovation of a hominid movement or signal to a command with the
help of mathematical algorithm. It enables any person to correlate with the
machine in absence of any physical devices, as an input device to perform
desired actions in a system. The technology interprets human gestures &
movements, for instance movement of hands, arms, fingers, head, or the entire
body. It allows users to operate & control devices merely with the
gestures. Gesture is a primary source of input data. In gesture recognition
technology, a camera detains the image and feed the image data to a sensing
device, it perceives & interpret gesture and execute the correlated
command. Most of the electronic devices such as tablets, smart phone, PCs,
laptops, and TV are equipped with gesture recognition which enhances the efficiency
and ease of use.
According to
study, “Global Gesture
Recognition Market by technology (sensor, 2D and 3D gesture), product (touch
less, touch based), application (automotive, healthcare, transportation, IT,
commercial) - Forecast 2023” the key companies operating in the global gesture
recognition market are Apple Inc., Microsoft Corporation, Iris guard, Intel
Corporation, Prime Sense Limited, Jabil Inc., Qualcomm Technologies Inc., Texas
Instruments, Omron Corporation, Infineon Technologies AG, Pyreos Ltd., SoftKinetic,
Thalmic Labs Inc., Alphabet Inc., Sony Corp., EyeSight Technologies Ltd., Fibaro
Group SA, Microchip Technology Inc., Elliptic Laboratories AS, Leap Motion
Inc., Synaptics Inc., Google Inc., GestureTek Inc., Movea SA, Omron Corp. The
key players are leveraging on strategic collaborative initiatives to enhance
the market shares & profitability. Companies are also acquiring start-ups
working on autonomous delivery robot technologies to strengthen the product
capabilities.
Based on technology,
global gesture recognition market is segmented into touch based systems and
toucheless systems. Touch based system technology includes motion gesture and
multi-touch system. Touchless system technology includes infrared array,
capacitive/electric field, 2D (two dimensional) camera based technology, 3D
(three dimensional) vision technologies and ultrasonic technology. Based on
authentication type, market is segmented into finger print recognition, vision
& IRIS recognition, face recognition, hand & leg recognition and
others. In addition, based on application, market is segmented into gaming,
automotive (biometric access, lighting system and HUD), aerospace &
defense, hospitality, consumer electronics (smartphone, gaming console, laptops
& tablets, smart TV, head-mount display (HMD), set-top box), medical centers,
education and others.
The gesture
recognition market is driven by increase in digitization across industries,
followed by surge in application of gesture control features in automobiles,
growth in consumer electronics market, rise in development of motion-control
gaming, increase in disposable income and ease of adoption owing to low
technical complexity for end users. However, high-power consumption and absence
of haptic sensation may impact the market. Moreover, increase in use of
touchless sanitary solution is a key opportunity for market.
Based on
geography, the North-American region holds major share in global gesture
recognition market owing to increase in adoption of smart technologies in
various sector such as consumer electronics & automotive and rapid
automation activities in industries in the region. The Asian Pacific and
European region is expected to witness higher growth rate due to rise in demand
of smart phone & smart technologies in the educational sector over the
forecast period. It is anticipated that the market will be reached at fast pace
on account of growth in industrial digitization and Increase in development of
motion-control gaming over the forecast period.
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