November 12, 2017

JOURNAL PAPERS

2020


Leung, B., Bijma, N., Baird E., Dacke M., Gorb, S., Manoonpong, P. (2020), Rules for the Leg Coordination of Dung Beetle Ball Rolling Behaviour, Scientific Reports, Nature Publishing. doi: 10.1038/s41598-020-66248-7 (pdf)

T. Choksatchawathi, P. Ponglertnapakorn, A. Ditthapron, P. Leelaarporn, T. Wisutthisen, M. Piriyajitakonkij and T. Wilaiprasitporn*, “Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach,” IEEE Sensors Journal. doi: 10.1109/JSEN.2020.2979191

R. Chaisaen, P. Autthasan and N. Mingchinda and P. Leelaarporn and N. Kunaseth and S. Tammajarung and P. Manoonpong and S. C. Mukhopadhyay(IEEE Fellow) and T. Wilaiprasitporn, “Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2020.3005968.

2019


P. Sawangjai, S. Hompoonsup, P. Leelaarporn, S. Kongwudhikunakorn, and T. Wilaiprasitporn, “Consumer grade EEG Measuring Sensors as Research Tools: A Review,” in IEEE Sensors Journal. doi:10.1109/JSEN.2019.2962874

P. Autthasan, X. Du, J. Arnin, S. Lamyai, M. Perera, S. Itthipuripat, T. Yagi, P. Manoonpong and T. Wilaiprasitporn, “A Single-Channel Consumer-Grade EEG Device for Brain-Computer Interface: Enhancing Detection of SSVEP and Its Amplitude Modulation,” in IEEE Sensors Journal. doi:10.1109/JSEN.2019.2958210

Thor, M. and Manoonpong, P. Error-based Learning Mechanism for Fast Online Adaptation in Robot Motor Control, IEEE Transactions on Neural Networks and Learning Systems , doi: 10.1109/TNNLS.2019.2927737

Thor, M. and Manoonpong, P. (2019) A fast online frequency adaptation mechanism for CPG-based robot motion control, IEEE Robotics and Automation Letters, Volume: 4 , Issue: 4 , Page(s): 3324 – 3331. DOI: 10.1109/LRA.2019.2926660

Rungruangsak-Torrissen, K.; Manoonpong, P. (2019) Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency. PLoS ONE 14(8): e0216030. https://doi.org/10.1371/journal.pone.0216030

P. Lakhan, N. Banluesombatkul, V. Changniam, R. Dhithijaiyratn, P. Leelaarporn, E. Boonchieng, S. Hompoonsup and T. Wilaiprasitporn, “Consumer Grade Brain Sensing for Emotion Recognition,” in IEEE Sensors Journal. doi: 10.1109/JSEN.2019.2928781

T. Wilaiprasitporn, A. Ditthapron, K. Matchaparn, T. Tongbuasirilai, N. Banluesombatkul and E. Chuangsuwanich, “Affective EEG-Based Person Identification Using the Deep Learning Approach,” in IEEE Transactions on Cognitive and Developmental Systems. doi: 10.1109/TCDS.2019.2924648

A. Ditthapron, N. Banluesombatkul, S. Ketrat, E. Chuangsuwanich and T. Wilaiprasitporn, “Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder,” in IEEE Access, vol. 7, pp. 68415-68428, 2019.
doi: 10.1109/ACCESS.2019.2919143

Shaikh, Danish, Leon Bodenhagen, and Poramate Manoonpong. “Concurrent intramodal learning enhances multisensory responses of symmetric crossmodal learning in robotic audio-visual tracking.” Cognitive Systems Research 54 (2019): 138-153.

2018


Shaikh, Danish, and Poramate Manoonpong. “A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths.” Neural Computing and Applications (2018): 1-17.

Manoonpong, Poramate, and Christian Tetzlaff. “Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology.” Frontiers in neurorobotics 12 (2018).

Ambe, Y.; Aoi, S.; Nachstedt, T.; Manoonpong, P.; Woergoetter, F.; Matsuno, F. (2018) A simple analytical model reveals the functional role of embodied sensorimotor interaction in hexapod gaits, PLoS ONE 13(2): e0192469. (pdf)

Tramsen, H.T.; Gorb, S.N.; Zhang, H.; Manoonpong, P.; Dai, Z.; Heepe, L. (2018) Inversion of friction anisotropy in a bio-inspired asymmetrically structured surface. J. R. Soc. Interface 20170629. (pdf)

Thor, M.; Strøm-Hansen, T.; Larsen, L. B.; Kovalev, A.; Gorb, S. N.; Baird, E.; Manoonpong, P. (2018) A dung beetle-inspired robotic model and its distributed sensor-driven control for walking and ball rolling, Artificial Life and Robotics, pp. 1-9, (pdf)

Braun, J.M.; Wörgötter, F.; Manoonpong, P. (2018) Modular Neural Mechanisms for Gait Phase Tracking, Prediction, and Selection in Personalizable Knee-AnkleFoot-Orthose, Front Neurorobot. 2018; 12: 37, (pdf)