activity
20182023
most citedAffective EEG-Based Person Identification Using the Deep Learning Approach

174 citations · 375 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2023

Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health

Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

Modern smartphones possess hardware for audio acquisition and to perform speech processing tasks such as speaker recognition and health assessment. However, energy consumption rema…

eess.SP2019★ 23 cited

Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach

Tanut Choksatchawathi, Puntawat Ponglertnapakorn, Apiwat Ditthapron +4

The technological advancement in wireless health monitoring through the direct contact of the skin allows the development of light-weight wrist-worn wearable devices to be equipped…

eess.IV2019★ 43 cited

Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial

Theerasarn Pianpanit, Sermkiat Lolak, Phattarapong Sawangjai +2

In the past few years, there are several researches on Parkinson's disease (PD) recognition using single-photon emission computed tomography (SPECT) images with deep learning (DL)…

eess.SP2018★ 41 cited

Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification

Payongkit Lakhan, Apiwat Ditthapron, Nannapas Banluesombatkul +1

Dramatic raising of Deep Learning (DL) approach and its capability in biomedical applications lead us to explore the advantages of using DL for sleep Apnea-Hypopnea severity classi…

eess.SP2018★ 94 cited

Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder

Apiwat Ditthapron, Nannapas Banluesombatkul, Sombat Ketrat +2

The process of recording Electroencephalography (EEG) signals is onerous and requires massive storage to store signals at an applicable frequency rate. In this work, we propose the…

eess.SP2018★ 174 cited

Affective EEG-Based Person Identification Using the Deep Learning Approach

Theerawit Wilaiprasitporn, Apiwat Ditthapron, Karis Matchaparn +3

Electroencephalography (EEG) is another mode for performing Person Identification (PI). Due to the nature of the EEG signals, EEG-based PI is typically done while the person is per…