情绪识别
计算机科学
语音识别
人机交互
心理学
多媒体
作者
Xu Zhang,Xiyuan Zhang,Xinling Li,Yao Zhang,Xuan Huang
摘要
Rapid advancements in sensor technologies have heightened the demand for adaptable and customizable power modules. Flexible organic photovoltaic (FOPV) devices, with their exceptional mechanical flexibility and ease of fabrication, offer a promising solution to meet these demands. Here, we introduce a self‐ powered audio emotion recognition system (SAERS) that integrates FOPV and driving devices, providing sensors with a stable and robust power supply while leveraging deep learning algorithms to enable sophisticated emotion recognition functionality. The FOPV device is based on a PM6 bulk heterojunction (BHJ) structure as the organic active layer, paired with an ITO‐PET cathode for enhanced flexibility, achieving a photovoltaic conversion efficiency (PCE) exceeding 12.39%. This SAERS not only delivers a self‐sustaining power source for sensors but also demonstrates an innovative application in emotion analysis, advancing wearable technology and supporting sustainable development in this field.
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