Table of Contents
Gesture and Speech Recognition Fuse To Change Human Interaction With Electronic Devices
Gesture and speech recognition technologies, a couple of years back were deemed futuristic, but recent advances in aiding software and hardware technologies have enabled the successful integration of speech and gesture into everyday appliances. Smarter computing technologies, which have high speed, robust performance, and high memory capacity are among the key factors that support innovations in gesture and speech recognition for consumer electronics. The surge in smartphones, tablets, and PCs that support these technologies will propel innovations and consumer electronics industry will witness a large scale adoption in the coming 3 to 5 years.
Gesture and speech recognition technologies, a couple of years back were deemed futuristic, but recent advances in aiding software and hardware technologies have enabled the successful integration of speech and gesture into everyday appliances. Smarter computing technologies, which have high speed, robust performance, and high memory capacity are among the key factors that support innovations in gesture and speech recognition for consumer electronics. The surge in smartphones, tablets, and PCs that support these technologies will propel innovations and consumer electronics industry will witness a large scale adoption in the coming years.
The objective of this research service is to capture technology advancements and track the emerging trends in gesture and speech recognition technologies for consumer electronics. Leveraging on Technical Insights’ analysis, each of the mentioned technology could be optimized for different functionalities and end-user needs.
In brief, this research service provides the following:
• A brief snapshot of the capabilities of gesture and speech recognition technology
• Drivers and challenges faced by the gesture and speech recognition market
• Market impact of key innovations and impact on consumer electronics applications
• Technology adoption and demand side assessment
• Future scenario, technology road mapping
• Opportunities created with technology convergence
• Technical Architects
• Research Heads
• Strategic Decision Makers
• Technology Policy Heads
•Market Research Services
•Technology Policy Information Sites
•Thought Leader Briefings
Gesture and Speech Recognition
•Innovation in speech and gesture recognition technologies for consumer electronics should primarily focus on improving user experience that it can offer in terms of speed, accuracy, and functionality.
•The application value of speech and gesture recognition technologies with the consumer electronics industry will be determined by the parameters that include performance characteristics and the unmatched user experience speech and gesture control offers, new product development opportunities, and growth dynamics with the consumer electronics industry.
•Speech and gesture recognition hardware and software implementation aim to deliver high-quality performance at very low-power consumption level.
•With mass deployment being a key factor in catering to consumer electronic applications, innovations in speech and gesture recognition should balance technology capabilities and cost factors to enable OEMs (original equipment manufacturers) adopt these technologies to cater to the mass market.
•The consumer electronics industry caters to a wide variety of users with an exhaustive product portfolio ranging from mobile phone to home security systems where gesture and speech recognition will add immense application value.
•Speech and gesture control technologies should be software/hardware platform independent for smooth integration and functioning with existing and future consumer electronic devices.
Gesture Recognition: Technology Snapshot
Basic flow of gesture control technology
• Wait for the user to perform gestures
• Gather enough information as input
• Process gathered information
• Respond to the user’s gestures accordingly
Gesture Recognition - Evolution of the technology
• Musical instrument that recognizes human gestures
• 2D contact-based GR system: Gesture recognition (GR) is used in all touch interface mobile and devices. In 2007, Apple released its iTouch, which adopts this technology.
• 2D tracker-based GR system: This Includes a sensor and is without contact. For example, Nintendo's Wii is a gaming console that translates hand gestures into gaming control via a remote.
• 2D camera that responds to hand gestures: Non-Contact based GR technology, which does not require any device such as, a remote to translate human gesture to control. Face recognition in mobiles and cameras uses this technology.
• 3D depth sensing camera that recognizes human gestures from a distance: This technology captures the 3D image of the user and senses the motion more accurately. This technology is currently under research.
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