Search Results for author: Maytus Piriyajitakonkij

Found 4 papers, 2 papers with code

Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result

no code implementations18 Jun 2021 Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul

Supervised deep convolutional neural networks (DCNNs) are currently one of the best computational models that can explain how the primate ventral visual stream solves object recognition.

Object Recognition reinforcement-learning +1

SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

1 code implementation2 May 2020 Maytus Piriyajitakonkij, Patchanon Warin, Payongkit Lakhan, Pitsharponrn Leelaarporn, Theerasarn Pianpanit, Nakorn Kumchaiseemak, Supasorn Suwajanakorn, Nattee Niparnan, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn

Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human sleep postures has not been explored widely.

Data Augmentation Human Activity Recognition +3

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