Flexible photonic contactless human-machine interface based on visible-blind near-infrared organic photodetectors

Contactless human-machine interfaces (C-HMIs) are revolutionizing artificial intelligence (AI)-driven domains, yet face application limitations due to narrow sensing ranges, environmental fragility, and structural rigidity. To address these obstacles, we developed a flexible photonic C-HMI (Flex-PCI) using flexible visible-blind near-infrared organic photodetectors. In addition to its unprecedented performance across key metrics, including broad detection range (0.5-60.0 cm), high spatial resolution (∼10.0 µm), and fast response speed (1.6 µs), our Flex-PCI could precisely track finger kinematics and human physiological information, including position, velocity, trajectory, heart rate, and respiratory rate. Additionally, the Flex-PCI could stably operate under diverse conditions, such as various temperatures, humidities, ambient light intensities, bending states, and even underwater, addressing the reliability gap in dynamic applications. These combined, unparalleled characteristics have been demonstrated through a high-dimensional security system synergistically featuring tracking of finger kinematics and human physiological information in aerial and aquatic environments. This breakthrough technology opens up numerous possibilities for contactless interactions across diverse AI-powered scenarios, from security systems, social media, and AR/VR, to personal interactions with gaming and entertainment, significantly enhancing the quality of the user experience.

Authors

Institutions

Publication Details

Journal
National Science Review
Published
2025-07-26
DOI
https://doi.org/10.1093/nsr/nwaf303
Citations
10
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
7.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible photonic contactless human-machine interface based on visible-blind near-infrared organic photodetectors

Ruiman Han, Guangkun Song, Guanghui Li, Y. D. Yang et al.
10 citations
National Science Review
Photonic and Optical Devices
7.30
article

Flexible photonic contactless human-machine interface based on visible-blind near-infrared organic photodetectors

Ruiman Han, Guangkun Song, Guanghui Li, Y. D. Yang, Longyu Li, Yingjun Xia, Zhaochen Suo, Hao Qin, Yu Zhu, Wei Shin Lin, Lin Liu, Lei Zhu, Geng Chen, Ting Zhang, Yongsheng Chen, Tingting Guo, Wangqiao Chen, Jing Zhang, Xiangjian Wan, H. Shi
article en
10 citations

Abstract

Contactless human-machine interfaces (C-HMIs) are revolutionizing artificial intelligence (AI)-driven domains, yet face application limitations due to narrow sensing ranges, environmental fragility, and structural rigidity. To address these obstacles, we developed a flexible photonic C-HMI (Flex-PCI) using flexible visible-blind near-infrared organic photodetectors. In addition to its unprecedented performance across key metrics, including broad detection range (0.5-60.0 cm), high spatial resolution (∼10.0 µm), and fast response speed (1.6 µs), our Flex-PCI could precisely track finger kinematics and human physiological information, including position, velocity, trajectory, heart rate, and respiratory rate. Additionally, the Flex-PCI could stably operate under diverse conditions, such as various temperatures, humidities, ambient light intensities, bending states, and even underwater, addressing the reliability gap in dynamic applications. These combined, unparalleled characteristics have been demonstrated through a high-dimensional security system synergistically featuring tracking of finger kinematics and human physiological information in aerial and aquatic environments. This breakthrough technology opens up numerous possibilities for contactless interactions across diverse AI-powered scenarios, from security systems, social media, and AR/VR, to personal interactions with gaming and entertainment, significantly enhancing the quality of the user experience.

National Science ReviewVol. 12(9)
Tianjin University (CN), South China Normal University (CN), Nankai University (CN), Suzhou Institute of Nano-tech and Nano-bionics (CN)
Natural Science Foundation of Tianjin City, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Photonic and Optical Devices
7.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.