When Machines Know How You're Feeling: The Rise of Affective Computing

Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical inquiries into emotion, on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response to those emotions.

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 The key players in the market were identified through secondary research, such as Association for the Advancement of Affective Computing (AAAC), Deep Learning Summit, and International Neural Network Society, and their market shares in respective regions were determined through primary & secondary researches. This entire procedure includes the study of annual and financial reports of top market players and extensive interviews for key insights from the industry leaders. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.

The prominent players in the affective computing ecosystem are Google Inc. (California, U.S.), IBM Corporation (New York, U.S.), Microsoft Corporation (Washington DC, U.S.), Saffron Technology (North Carolina, U.S.), Softkinteic System S.A. (Brussels, Belgium), Affectiva (Waltham, U.S.), Elliptic Labs (Oslo, Norway), Eyesight Technologies Ltd. (Israel), Pyreos Ltd. (Edinburgh, U.K.), Cognitec Systems GmbH (Germany), Beyond Verbal Communication Ltd. (Tel Aviv, Israel), Numenta (California, U.S.), GestureTek (Canada), and SightCorp (Amsterdam, the Netherlands).

Touch Based

Touch-based technologies play a crucial role in the deployment of affective computing solutions. Most of the affective computing technologies need hardware such as camera, sensors, and storage devices to provide a full-fledged computing solution, which can analyze various facial expressions. It allows users to make certain gestures by either touching the device or through the controller connected to the device. With most of the developments taking place in the affective computing market, the market for touch-based technologies is expected to increase at a healthy CAGR. Some of the most popular touch- or gesture-based technologies deployed to monitor or detect human gestures include accelerometers, gyroscopes, or a combination of both.

Accelerometers that have evolved to become Micro Eelectromechanical Systems (MEMS) have been long in use to detect the motion of a device in a variety of applications. Accelerometers measure the acceleration due to gravity to estimate the angle when a device is tilted. The use of accelerometers earlier was restricted to applications such as industrial and automotive (cruise ships, space stations, launch vehicles, and military); however, it has now penetrated the vast consumer electronics market. Reduction in prices and widespread acceptance of touch-based technology have been the major drivers of the growing adoption of accelerometers in these devices. Accelerometers are integrated in most of the consumer electronic devices such as smartphones, tablets, gaming consoles, and media players for various purposes.

Touchless

Touchless sensing technologies enable a user to interact with a device to perform a specific task without having to touch it. Affective computing software such as speech recognition, facial feature extraction, and analytics software are used to extract information without the requirements of additional dedicated hardware. The need for advanced and accurate security solutions across the world is driving the market for touchless sensing. This technology is also helping companies gain competitive advantage and grow in this market. Touchless biometric systems are more accurate as they eliminate errors that can occur in an image if there are distortions, wounds, or tattoos on the skin. There are a number of technologies that create touchless sensing environment, such as RFID, camera-based, sensors, and voice recognition technologies.

The touchless sensing market is being driven by many factors such as the demand for high security measures and user authentication; however, there are some factors such as high cost and availability of substitute products restraining its growth. During the forecast period, this market is expected to witness many opportunities, which would help it grow. Currently, many verticals such as healthcare, defense, and banking and finance are using the technology for secure physical and virtual access.

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