Ke Jiang

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About

Ke Jiang is a pioneering researcher in affective computing and biomedical signal processing, with a focus on developing accessible, low-cost technologies for emotion recognition. His major contributions center on leveraging skin potential (SP) signals—a less-explored physiological marker—to detect human emotions using portable, wireless devices. In his highly cited 2021 study, Jiang demonstrated that SP signals could reliably distinguish emotional states without the need for bulky, expensive equipment, achieving 31 citations for its practical implications in artificial intelligence, robotics, and medicine. This work bridges the gap between laboratory-grade biosensing and real-world applications, offering a scalable solution for human-computer interaction and mental health monitoring. By prioritizing affordability and portability, Jiang’s research challenges traditional reliance on complex setups, opening doors for wearable emotion-sensing systems. His innovative approach has been recognized for its potential to democratize affective computing, making emotion-aware technology more accessible to researchers and clinicians alike. Jiang’s contributions continue to inspire advancements in non-invasive physiological sensing, positioning him as a key figure in the intersection of signal processing, AI, and healthcare.