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29 Records Export

Document Title	Authors	Year	Citations (Scopus)
Deep learning-based comparative evaluation of EEG, HRV, and EDA biomarkers for personal thermal comfort prediction	Fatimah Wongsontham, Paweena Chaithong, M. Arif Efendi, Theerapan Songnuy, Yunyong Punsawad, Bukhoree Sahoh, Apaporn Tipsavak, Mallika Kliangkhlao	2026	1
Electroencephalography-Based Brain–Computer Interface System Using Tongue Movement Imagery for Wheelchair Control	M. Arif Efendi, Nannaphat Siribunyaphat, Yunyong Punsawad, Theerat Saichoo, Bukhoree Sahoh	2026	0
Decoding Self-Imagined Emotions from EEG Signals Using Machine Learning for Affective BCI Systems	Nannaphat Siribunyaphat, Yunyong Punsawad, Bukhoree Sahoh, Charoenporn Bouyam	2025	1
Investigation of Personalized Visual Stimuli via Checkerboard Patterns Using Flickering Circles for SSVEP-Based BCI System †	Nannaphat Siribunyaphat, Yunyong Punsawad, Natjamee Tohkhwan	2025	1
Hands-Free Human–Machine Interfaces Using Piezoelectric Sensors and Accelerometers for Simulated Wheelchair Control in Older Adults and People with Physical Disabilities	Nannaphat Siribunyaphat, Yunyong Punsawad, May Thu, Charoenporn Bouyam, Dollaporn Anopas	2025	1
EEG-Based Brain-Computer Interface Using Visual Flicker Imagination for Assistive Communication System	Si Thu Aung, Nannaphat Siribunyaphat, Yunyong Punsawad, Theerat Saichoo	2024	2
Application of Augmented Reality Technology for Chest ECG Electrode Placement Practice	Si Thu Aung, Yunyong Punsawad, Charlee Kaewrat, Dollaporn Anopas	2024	6
EEG-based Brain-Computer Interface System via Time-Locked Visual Attention for Assistive Device Control	Nannaphat Siribunyaphat, Yunyong Punsawad, Theerat Saichoo, Manorot Borirakarawin, Natjamee Tohkhwan, Charoenporn Bouyam	2024	0
A Personal Thermal Comfort Model Based on Causal Artificial Intelligence: A Physiological Sensor-Enabled Causal Identifiability	Kirttayoth Yeranee, Yunyong Punsawad, Kanjana Haruehansapong, Bukhoree Sahoh, Mallika Kliangkhlao	2024	3
The Development of a Multicommand Tactile Event-Related Potential-Based Brain–Computer Interface Utilizing a Low-Cost Wearable Vibrotactile Stimulator	Si Thu Aung, Nannaphat Siribunyaphat, Yunyong Punsawad, Manorot Borirakarawin	2024	0
Steady-State Somatosensory Evoked Potential-Based Brain-Computer Interface Using a Vibrotactile Stimulus by Mixing Vibration Frequencies	Nannaphat Siribunyaphat, Yunyong Punsawad, Manorot Borirakarawin	2024	0
Development of a Tongue Motor Imagery Method for EEG-Based Brain-Computer Interface in Wheelchair Control	Nannaphat Siribunyaphat, Yunyong Punsawad, Theerat Saichoo, Charoenporn Bouyam	2024	1
SSVEP-Based Brain-Computer Interface via Checkerboard Pattern with Flickering Circles	Nannaphat Siribunyaphat, Yunyong Punsawad, Benyapa Tanomjai, Natjamee Tohkhwan, Sirawit Juthong, Panita Bunprom	2024	1
Hybrid Brain-Computer Interface System Using Auditory Stimulation and Speech Imagination Paradigms for Assistive Technology	Yunyong Punsawad, Manorot Borirakarawin	2023	5
Physiological Signals-Driven Personal Thermal Comfort System Based on Environmental Intervention	Paweena Chaithong, Kirttayoth Yeranee, Yunyong Punsawad, Bukhoree Sahoh, Fayaz Heembu	2023	7
Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control	Nannaphat Siribunyaphat, Yunyong Punsawad	2023	22
Event-Related Potential-Based Brain–Computer Interface Using the Thai Vowels’ and Numerals’ Auditory Stimulus Pattern	Yunyong Punsawad, Manorot Borirakarawin	2022	4
Utilizing augmented reality technology for teaching fundamentals of the human brain and EEG electrode placement	Yunyong Punsawad, Charlee Kaewrat	2022	1
Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair	Poonpong Boonbrahm, Yunyong Punsawad, Theerat Saichoo	2022	14
Steady-State Visual Evoked Potential-Based Brain–Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern	Nannaphat Siribunyaphat, Yunyong Punsawad	2022	28
Light Sleep Detection based on Surface Electromyography Signals for Nap Monitoring	Yutana Jewajinda, Yunyong Punsawad, Wachiraporn Aiamklin	2022	1
Human-Machine Interface Device using Piezoelectric Sensors based on Facial Muscle Movements for Wheelchair Control	Nannaphat Siribunyaphat, Yunyong Punsawad, Theerat Saichoo, Charoenporn Bouyam	2022	0
Human–machine interface-based wheelchair control using piezoelectric sensors based on face and tongue movements	Yunyong Punsawad, Charoenporn Bouyam	2022	19
Utilizing augmented reality technology for teaching fundamentals of the human brain and EEG electrode placement Utilizing AR technology for brain and EEG electrode placement: Kaewrat and Punsawad	Yunyong Punsawad, Charlee Kaewrat	2022	1
A face-machine interface utilizing EEG artifacts from a neuroheadset for simulated wheelchair control	Poonpong Boonbrahm, Yunyong Punsawad, Theerat Saichoo	2021	6
Multicommand Auditory ERP-based BCI System	Yunyong Punsawad, Manorot Borirakarawin	2021	4
Facial-machine interface-based virtual reality wheelchair control using EEG artifacts of emotiv neuroheadset	Poonpong Boonbrahm, Yunyong Punsawad, Theerat Saichoo	2021	8
Exploration of illusory visual motion stimuli: An EEG-based brain-computer interface for practical assistive communication systems	Yunyong Punsawad, Nannaphat Siribunyaphat, Yodchanan Wongsawat	2021	6
Development of flicker visual stimulus by mixing fundamental and its harmonie frequencies for SSVEP-based brain-computer interface	Nannaphat Siribunyaphat, Yunyong Punsawad, Yodchanan Wongsawat	2021	1

5 Research Project Export

1) ระบบเชื่อมต่อสมองกับคอมพิวเตอร์ด้วยตัวกระตุ้นคงตัวทางสายตาที่ใช้แว่นความเป็นจริงเสริมสาหรับการควบคุมเก้าอี้รถเข็นไฟฟ้า

Project Leader: Dr. Nannaphat Siribunyaphat (ดร.นันท์นภัส ศิริบุญญพัฒน์)

Researchers: Assoc.Prof.Dr. Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

Department: School of Informatics (สำนักวิชาสารสนเทศศาสตร์)

Funding Agency Type: ทุนภายในสถาบัน

Duration: 01/10/2025 - 30/09/2026

Status: In process (อยู่ระหว่างดำเนินการ)

2) ระบบเชื่อมต่อสมองกับคอมพิวเตอร์ด้วยคลื่นไฟฟ้าสมองผ่านตัวกระตุ้นคงตัวทางสายตาแบบปรับตัวได้สำหรับการควบคุมถุงมือหุ่นยนต์แบบนิ่ม

Project Leader: Dr. Nannaphat Siribunyaphat (ดร.นันท์นภัส ศิริบุญญพัฒน์)

Researchers: Assoc.Prof.Dr. Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

Department: School of Informatics (สำนักวิชาสารสนเทศศาสตร์)

Funding Agency Type: ทุนภายในสถาบัน

Duration: 08/08/2024 - 07/08/2025

Status: In process (อยู่ระหว่างดำเนินการ)

3) Development of EEG-based Brain-Computer Interface using Face and Tongue Movements for Assistive Technology

Project Leader: Asst.Prof.Dr. Theerat Saichoo (ผศ.ดร.ธีรัช สายชู)

Researchers: Assoc.Prof.Dr. Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

Department: School of Informatics (สำนักวิชาสารสนเทศศาสตร์)

Funding Agency Type: ทุนภายในสถาบัน

Duration: 16/02/2023 - 15/02/2024

Status: In process (อยู่ระหว่างดำเนินการ)

4) Design and implementation of Face-Machine Interface Devices integrating Displacement Sensors for Assistive Technology

Project Leader: Asst.Prof. Charoenporn Bouyam (ผศ.เจริญพร บัวแย้ม)

Researchers: Assoc.Prof.Dr. Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

Department: School of Informatics (สำนักวิชาสารสนเทศศาสตร์)

Funding Agency Type: ทุนภายในสถาบัน

Duration: 01/02/2023 - 31/01/2024

Status: In process (อยู่ระหว่างดำเนินการ)

5) อุปกรณ์เชื่อมต่อมนุษย์กับเครื่องจักรต้นทุนต่ำที่ใช้การเคลื่อนไหวของใบหน้าสำหรับควบคุมเก้าอี้รถเข็นไฟฟ้าเสมือน

Project Leader: Asst.Prof. Charoenporn Bouyam (ผศ.เจริญพร บัวแย้ม)

Researchers: Assoc.Prof.Dr. Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

Department: School of Informatics (สำนักวิชาสารสนเทศศาสตร์)

Funding Agency Type: ทุนภายในสถาบัน

Duration: 12/11/2021 - 11/11/2022

Status: Published (เผยแพร่โครงการแล้ว)

0 Intellectual Property Export

1 Scholarly Works Export

1) การทํานายสภาพจราจรในเขตกรุงเทพฯ ชั้นใน ด้วยการเรียนรู้เชิงลึก= Predicting traffic status of inner bangkok with deep learning/

Assoc.Prof.Dr.Yunyong Punsawad (รศ.ดร.ยรรยงค์ พันธ์สวัสดิ์)

0 Awards Export

Biography

Yunyong Punsawad received the B.Eng. degree in Electrical Engineering from Suranaree University of Technology, Thailand, in 2007, and the M.Eng. and Ph.D. degrees in Biomedical Engineering from Mahidol University, Thailand, in 2010 and 2016, respectively. He is currently an Associate Professor in Biomedical Engineering at the School of Informatics, Walailak University, Thailand. His research focuses on brain–computer interfaces (BCIs), human–machine interfaces (HMIs), and human-centered intelligent systems. His work aims to transform brain and physiological signals into meaningful interactions for assistive technologies. He develops novel steady-state visually evoked potential (SSVEP) stimuli and cognitive and affective computing methods to interpret user intent and emotional states. His research integrates electroencephalography (EEG), heart rate variability (HRV), and electrodermal activity (EDA) with artificial intelligence to create adaptive, human-centered systems that enhance accessibility and improve quality of life.

Education

Degree: ปริญญาตรี

Major: วิศวกรรมศาสตรบัณฑิต

Institution: มหาวิทยาลัยเทคโนโลยีสุรนารี

Country: ไทย

Year of study: 2547-2550

Degree: ปริญญาโท

Major: วิศวกรรมศาสตรมหาบัณฑิต

Institution: มหาวิทยาลัยมหิดล

Country: ไทย

Year of study: 2551-2553

Degree: ปริญญาเอก

Major: ปรัชญาดุษฏีบัณฑิต

Institution: มหาวิทยาลัยมหิดล

Country: ไทย

Year of study: 2553-2559

Expertise

Name: Biomedical engineering, neural engineering, brain-computer interface, neurofeedback

Type: อื่น ๆ

Interest

Name: Neural interfaces, neurorehabilitation, cognitive neurodynamics

Type: อื่น ๆ