Step counting on smartphones using advanced zero-crossing and linear regression. - Jungryul Seo; Yutsai Chiang; Teemu Henrikki Laine; Adil Mehmood Khan (IMCOM, 2015)

Enhancing Physical Education with Exergames and Wearable Technology. - Renny S. N. Lindberg; Jungryul Seo; Teemu Henrikki Laine (IEEE Trans. Learn. Technol., 2016)

Designing a Game for Learning Math by Composing: A Finnish Primary School Case. - Samuli Laato; Teemu Henrikki Laine; Jungryul Seo; Wooryeon Ko; Erkki Sutinen (ICALT, 2017)

Detecting boredom from eye gaze and EEG. - Joochan Kim; Jungryul Seo; Teemu Henrikki Laine (Biomed. Signal Process. Control., 2018)

Accurate position and orientation independent step counting algorithm for smartphones. - Jungryul Seo; Teemu Henrikki Laine (J. Ambient Intell. Smart Environ., 2018)

Machine learning approaches for boredom classification using EEG. - Jungryul Seo; Teemu Henrikki Laine; Kyung-Ah Sohn (J. Ambient Intell. Humaniz. Comput., 2019)

An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data. - Jungryul Seo; Teemu Henrikki Laine; Kyung-Ah Sohn (Sensors, 2019)

EEG-Based Emotion Classification for Alzheimer's Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models. - Jungryul Seo; Teemu Henrikki Laine; Gyuhwan Oh; Kyung-Ah Sohn (Sensors, 2020)

Data Collection Framework for Context-Aware Virtual Reality Application Development in Unity: Case of Avatar Embodiment. - Jiyoung Moon; Minho Jeong; Sangmin Oh; Teemu Henrikki Laine; Jungryul Seo (Sensors, 2022)