A Dynamic Gesture Recognition Algorithm Using Single Halide Perovskite Photovoltaic Cell for Human-Machine Interaction
- Resource Type
- Conference
- Authors
- Kyung-Chan, An; Jun-Ying, Li; Chu-Feng, Yang; Timothy, Ng Si En; Varku, Shibi; Qinjie, Wu; Kajal, Priyanka; Mathews, Nripan; Basu, Arindam; Kim, Tony Tae-Hyoung
- Source
- 2024 International Conference on Electronics, Information, and Communication (ICEIC) Electronics, Information, and Communication (ICEIC), 2024 International Conference on. :1-4 Jan, 2024
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Photovoltaic systems
Power demand
Photovoltaic cells
Heuristic algorithms
Gesture recognition
Perovskites
Classification algorithms
hand gesture
single sensor
multi-layer perceptron
- Language
- ISSN
- 2767-7699
This work presents a hand gesture recognition system for a single photovoltaic(PV) cell and provides a comparison and insight into several gesture recognition algorithms. The photovoltaic cell based on halide perovskites is used for a single sensor for hand gesture recognition. The multi-layer perceptron(MLP) classification algorithm was selected to recognize hand gestures from a PV cell after testing and comparing different algorithms. Using the proposed MLP classification algorithm, our proposed hand-gesture recognition system can provide 100% accuracy on our collected dataset.