Multimodal In-Sensor Computing with Dual-Phase Organic Synapses for Wearable Fitness Monitoring.

ABSTRACT: With the advancement of wearable and mobile devices, demand for the real-time, low-power processing of physiological and environmental signals is growing rapidly. To achieve this, neuromorphic systems that employ artificial synapses for analog signal processing and parallel computing represent a promising strategy. In this study, a synaptic sensor is developed that simultaneously responds to human respiration and ambient ultraviolet (UV) light, enabling multimodal analog data processing. The proposed device is fabricated using the organic semiconductor 5,5'-Di(4-biphenylyl)-2,2'-bithiophene, which has distinct bulk and channel phases. Human respiration-induced airflow is converted into a synaptic current via charge trapping triggered by the interaction between molecules of water and the bu

SUBMITTER: Mao Y 

PROVIDER: S-EPMC12810669 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature