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Intelligent Smartwatch App to Detect Human Emotions

MIT researchers develop artificial intelligence system to aid in social interaction using variety of signals

Massachusetts: The researchers from Massachusetts Institute of Technology(MIT), a privately-owned research university in Cambridge, Massachusetts, developed a new artificial intelligent software for the smartwatches to detect emotions of the speaker by analysing their speaking tone. The system uses speech patterns and vitals of a person to reveal whether speaker is happy, sad or neutral.

The system uses an algorithm for real-time analysis of speech and tone and also analyzes blood pressure, heart rate and body temperature of the smartwatch wearer. The system also reveals the emotional state in which the wearer was during multiple stages of a conversation.

The feature demoed on research friendly wearable Samsung Simband, and by using deep learning and AI to analyse audio, text transcriptions, and physiological signals, the system operates with an accuracy of 83%. The researchers at MIT say that with time, the system will be able to understand more complex and sophisticated emotions.

TechSci Research depicts that leading organization around the world are spending more on Research & Development of smartwatches for developing the smartwatches that are more user-friendly. However, the growing deployment and awareness of the people towards the benefits of smartwatches is projected to drive their growth, globally, during the forecast period.

According to recently published report by TechSci Research, “Global Smartwatch Market By Type, By Application, By Operating System, Competition Forecast and Opportunities, 2012-2021”, the global market for smartwatches is projected to grow at a CAGR over 25% during 2016-2021. Personal assistance application dominated global smartwatch market, on account of increasing usage of third party application in connected devices and rising demand for technologically advanced products.

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