MIT Develops Smartwatch App That Can Detect Emotions in Real-Time
MIT researchers have developed new smartwatch software that understands the tone of a conversation, and can tell you if the person is happy, sad, or neutral based on their speech patterns and vitals. The researchers demoed this feature on a Samsung Simband research-friendly wearable, hinting at how future devices could serve as 'social coaches' for people with anxiety or Asperger's syndrome.
Researchers Tuka AlHanai and Mohammad Mahdi Ghassemi have built an algorithm that can analyse speech and tone in real-time, as the person speaks. The video demo shows how the graph fluctuates as a person relays his story fluently. The experiment was conducted by asking people to wear the Samsung Simband research device, and tell a sad or happy story. The device captures high-resolution physiological waveforms to measure features such as movement, heart rate, blood pressure, blood flow, and skin temperature. The system also captured audio data and text transcripts to analyse the speaker's tone, pitch, energy, and vocabulary.
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