activity
20182021
collaborators

6 papers

cs.LG2021

A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition

Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip +9

In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent…

q-bio.NC2020

MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning

Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn +8

Identifying bio-signals based-sleep stages requires time-consuming and tedious labor of skilled clinicians. Deep learning approaches have been introduced in order to challenge the…

cs.HC2020

Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting

Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda +6

Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb…

eess.SP2019

Drowsiness Detection for Office-based Workload with Mouse and Keyboard Data

Sanurak Natnithikarat, Sirakorn Lamyai, Pitshaporn Leelaarporn +4

Non-invasive devices involved in the detection of drowsiness generally include infrared camera and Electroencephalography (EEG), of which sometimes are constrained in an actual rea…

eess.SP2019

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.SP2018

Consumer Grade Brain Sensing for Emotion Recognition

Payongkit Lakhan, Nannapas Banluesombatkul, Vongsagon Changniam +5

For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities.…