Market Research Report
Gesture Control Interfaces - Mobile Devices, Gaming, Smart Buildings and Smart Appliances, Automotive, Healthcare, Augmented and Virtual Reality, Sign Language and Computing: Global Market Analysis and Forecasts
|Published by||Tractica||Product code||689281|
|Published||Content info||68 Pages; 60 Tables, Charts & Figures
Delivery time: 1-2 business days
|Gesture Control Interfaces - Mobile Devices, Gaming, Smart Buildings and Smart Appliances, Automotive, Healthcare, Augmented and Virtual Reality, Sign Language and Computing: Global Market Analysis and Forecasts|
|Published: August 31, 2018||Content info: 68 Pages; 60 Tables, Charts & Figures||
Touchless gesture recognition occurs when a user makes movements in the air (whether intentionally or unintentionally), rather than in contact with a trackpad, touchscreen, stylus, or similar surface interface. These gestures are uniquely distinguishable as human, and are recognized and interpreted by automated systems to deduce the user's intention or status. Gesture recognition technologies include 2D cameras, 3D cameras, infrared (IR), lidar, ultrasonics, radio frequency (RF), motion-sensing gloves, and accelerometers.
In the past, gesture recognition has been used to bring a more intuitive user experience to gaming systems. Sales in this category will continue to be brisk. However, recent games have brought augmented reality (AR) to the attention of mainstream smartphone users, who are increasingly comfortable "looking through" their phones into annotated or imaginary worlds. This leads naturally to a desire to "reach through" into the AR world as well, manipulating it via gestures. At the same time, gesture recognition software APIs now exist that can recognize a user's hand and arm gestures using whatever sensors may already be present. Furthermore, the detection of "inadvertent gestures" will be used, increasingly, to distinguish human from nonhuman movements, and to deduce health analytics and other personal data in real time.
This Tractica report assesses the expected growth in gesture recognition technologies between 2018 and 2023. Substantial growth is anticipated in the fields of healthcare, smart buildings and smart appliances, phones and tablets, VR gaming, and enterprise AR. Modest growth is anticipated in automotive, 2D console gaming and sign language interpretation, while slight or negative change is anticipated in desktop and laptop computing. The report includes a comprehensive examination of market issues, technology issues, and key industry players.