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- W3045714384 abstract "The main objective of the work is to prevent hazardous situations for workers in automated and robotized agile-production environments by means of a new open-source FIWARE-based Smart Factory Service. New system will implement Deep Learning models based on Convolutional Neural Networks, Deep Reinforcement Learning (Double Deep Q Networks) and Recurrent Neural Networks for the detection of anomalous behavior patterns and the prediction of the workers’ level of attention, fatigue and distraction. For this purpose, FIWARE IoT Agents will gather video, audio and ECG data coming from camera and microphone arrays deployed in the environment, as well as ECG incorporated in wearables." @default.
- W3045714384 created "2020-08-03" @default.
- W3045714384 creator A5088508377 @default.
- W3045714384 date "2020-07-29" @default.
- W3045714384 modified "2023-10-03" @default.
- W3045714384 title "Deep Tech and Artificial Intelligence for Worker Safety in Robotic Manufacturing Environments" @default.
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- W3045714384 doi "https://doi.org/10.1007/978-3-030-53829-3_27" @default.
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