Automotive gesture recognition is comprised of electronic system installed in automobiles as a part of the human-machine interface (HMI). The automotive gesture recognition systems work on and the motion sensors of the gesture recognition system perceive physical movements of the driver without the need of physical contact or manual data insertion. Eye tracking, facial recognition, voice recognition, and lip movement analysis are known as perceptual user interfaces that collectively form gesture recognition system in automobiles.
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Automotive manufacturers, particularly carmakers, are offering a plethora of infotainment and other electronic features that can be manipulated by driver and passengers. However, increasing number of functionality features inside the vehicle holds the potential risk of driver distraction. Studies have observed that among the causes of driver distraction, visual and manual distractions are at the helm. As manufacturers and product development engineers are engaged in developing functionality features with least driver distraction, the gesture detection systems based on different sensors and 3D tracking technology continue to fail in achieving the highest efficiency.
Disruptive innovations are being introduced in the automotive gesture recognition market that focus on reducing driver distraction and enhancing comfort and control of the driver at an affordable cost. Innovations as such are likely to influence the growth trajectory of the automotive gesture recognition market in the coming years.
The dominance of the touch-based gesture recognition systems in the automotive gesture recognition market against the backdrop of a prominent end-user sentiment for touch-based technologies. While over 80% of the global market shares in 2017 were captured by touch-based gesture recognition segment, touchless systems have entered the market witnessing a considerably rising consumer confidence and are expected to witness an optimistic market outlook during the forecast period and beyond. However, adoption of touchless automotive gesture recognition system in the simple operations increases complexity and is likely to face the challenge of restricted adoption as compared to touch-based systems.
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To align with the rising awareness regarding driver safety and growing consumer demand for safety features, automakers are actively engaged in ways to install multiple safety features in the automobiles that ensure safety without affecting the interior design of automobiles. Owing to technological advancements, implementation of sensor-based electronic devices in automobiles has amplified in the past decade. On the same lines, the human-machine interface (HMI) in the form of gesture recognition is being installed in automobiles at a higher rate. Further, with the increasing government regulations for driver safety, the trend of installation of the functional safety features has been propelled, in turn, expected to drive the automotive gesture recognition market at an exponential rate in the coming years.
Electrification of the automotive industry has introduced autonomous and electric vehicles that are the highest consumer of electronic devices. Autonomous vehicles, in particular, present the epitome of electronic device operations where the vehicle is guided by sensors and assisting systems providing minimum human intervention. Sensor-based automotive gesture recognition technology is likely to be installed in the increasing numbers of electric and autonomous vehicles. Growing importance of driver safety and ongoing electrification of the automotive industry is set to present new opportunities for the automotive gesture recognition market.Â
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