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Slide Multimodal sensors Facial Expression The facial expression module uses computer vision techniques to analyze the face for various features such as smile, brow furrow, eye narrowing, and lip curvature.

Learn more Voice Tone The voice tone module analyzes the acoustic properties of speech to infer emotional states. Human voices convey a wealth of information about emotions, including pitch, volume, tone, and prosody.

Learn more Body Language The body language module uses computer vision techniques to track and analyze bodily movements, such as arm crossing, leg tapping, and head nodding.

Learn more Ocular Motion The ocular motion module focuses on tracking eye movements, which can reveal important information about emotional states.

Learn more Remote PPG Latest technology that measures human physiological signals, such as heart rate, blood pressure, skin conductance, and breathing rate through camera.

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Enhance Devices to Understand Emotion

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