Emotion AI in IoT devices is emerging as a new dimension of connected-device intelligence, enabling devices to recognise, interpret and respond to human emotional states alongside traditional measures such as location, activity and environmental conditions. Intelligent systems that can comprehend human emotions are becoming more and more necessary as AI and IoT merge. Advances in AI, computer vision, speech recognition, biometrics and multimodal sensing are making it increasingly possible for connected devices to infer emotions from facial expressions, voice, physiological signals, behaviour and contextual data. These capabilities are being enabled by advances in machine learning, affective computing and sensor technologies, allowing devices to interpret emotional cues and adapt their responses accordingly. Emotion AI has potential applications across multiple IoT use case consumer electronics, healthcare, smart homes, automotive, and workplace technologies. This report examines the emerging role of Emotion AI in IoT devices, exploring how connected devices are beginning to interpret human emotional states and use these insights to deliver more adaptive and personalised experiences. It assesses the maturity of Emotion AI across key IoT applications, including automotive systems, healthcare, public safety & security systems, smart buildings, and consumer electronics, highlighting relevant use cases, emerging deployments, and the potential value they offer. Together, these areas provide a view of how Emotion AI capabilities could influence the next generation of IoT devices and services.
Emotion AI in IoT devices is emerging as a new dimension of connected-device intelligence, enabling devices to recognise, interpret and respond to human emotional states alongside traditional measures such as location, activity and environmental conditions. Intelligent systems that can comprehend human emotions are becoming more and more necessary as AI and IoT merge.
Advances in AI, computer vision, speech recognition, biometrics and multimodal sensing are making it increasingly possible for connected devices to infer emotions from facial expressions, voice, physiological signals, behaviour and contextual data. These capabilities are being enabled by advances in machine learning, affective computing and sensor technologies, allowing devices to interpret emotional cues and adapt their responses accordingly. Emotion AI has potential applications across multiple IoT use case consumer electronics, healthcare, smart homes, automotive, and workplace technologies.
This report examines the emerging role of Emotion AI in IoT devices, exploring how connected devices are beginning to interpret human emotional states and use these insights to deliver more adaptive and personalised experiences. It assesses the maturity of Emotion AI across key IoT applications, including automotive systems, healthcare, public safety & security systems, smart buildings, and consumer electronics, highlighting relevant use cases, emerging deployments, and the potential value they offer. Together, these areas provide a view of how Emotion AI capabilities could influence the next generation of IoT devices and services.
