Can AI develop a system that can detect and respond to a person's emotional state in real-time, using physiological signals such as heart rate and skin conductance ?

Emotional intelligence is critical in many areas of life, including personal relationships and professional interactions. AI can be used to develop systems that can detect and respond to a person's emotional state in real-time.

Current systems can detect emotional states using physiological signals such as heart rate and skin conductance, but responding to these states in real-time is a more complex task. Researchers have made progress in developing affective computing systems that can analyze physiological signals and detect emotional states like stress, anxiety, and excitement. These systems often use machine learning algorithms to analyze the signals and detect patterns that are associated with specific emotional states. However, developing a system that can respond to a person's emotional state in real-time is still an active area of research.

— Enriched May 9, 2026 · Source: IEEE — https://ieeexplore.ieee.org/document/8460313

Recent advancements in affective computing and machine learning have enabled the development of systems that can detect and respond to a person's emotional state in real-time using physiological signals. For instance, wearable devices and sensors can collect data on heart rate, skin conductance, and other physiological signals, which can then be analyzed using machine learning algorithms to infer emotional states. Companies like Affectiva and MIT's Affective Computing Group have made significant contributions to this field, developing systems that can recognize and respond to emotions in real-time. These systems have various applications, including mental health monitoring and personalized recommendations.

— Inflection set by admin on May 9, 2026. Source: Affectiva's Emotion AI (2022), MIT's Affective Computing Group.