Development of a Bedside Wellness System. - Mieko Ohsuga; Yoko Tatsuno; Futomi Shimono; Kousuke Hirasawa; Hiroshi Oyama 001; Hitoshi Okamura (Cyberpsychology Behav. Soc. Netw., 1998)

Evaluation of the Psycho-Oncological Effectiveness of the Bedside Wellness System. - Hiroshi Oyama 001; Mieko Ohsuga; Yoko Tatsuno; Noriyuki Katsumata (Cyberpsychology Behav. Soc. Netw., 1999)

The Effects of the Timing of Commercial Breaks on the Loss of Attention. - Noriko Nagata; Sanae H. Wake; Mieko Ohsuga; Seiji Inokuchi (IEICE Trans. Inf. Syst., 2004)

Classification of Blink Waveforms Towards the Assessment of Driver's Arousal Level - An Approach for HMM Based Classification from Blinking Video Sequence. - Yoshihiro Noguchi; Roongroj Nopsuwanchai; Mieko Ohsuga; Yoshiyuki Kamakura (HCI (13), 2007)

Classification of Blink Waveforms Toward the Assessment of Driver's Arousal Levels - An EOG Approach and the Correlation with Physiological Measures. - Mieko Ohsuga; Yoshiyuki Kamakura; Yumiko Inoue; Yoshihiro Noguchi; Roongroj Nopsuwanchai (HCI (13), 2007)

VR Applied Asobi-Litation System for Dementia Elderly in Group Homes. - Mieko Ohsuga; Yumiko Inoue; Wataru Hashimoto; Fumitaka Nakaizumi (J. Robotics Mechatronics, 2007)

Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns. - Roongroj Nopsuwanchai; Yoshihiro Noguchi; Mieko Ohsuga; Yoshiyuki Kamakura; Yumiko Inoue (ITSC, 2008)

HR Changes in Driving Scenes with Danger and Difficulties Using Driving Simulator. - Yukiyo Kuriyagawa; Mieko Ohsuga; Ichiro Kageyama (HCI (17), 2009)

The Assessment of Driver's Arousal States from the Classification of Eye-Blink Patterns. - Yoshihiro Noguchi; Keiji Shimada; Mieko Ohsuga; Yoshiyuki Kamakura; Yumiko Inoue (HCI (17), 2009)

Estimation of Driver's Arousal State Using Multi-dimensional Physiological Indices. - Mieko Ohsuga; Yoshiyuki Kamakura; Yumiko Inoue; Yoshihiro Noguchi; Keiji Shimada; Masami Mishiro (HCI (21), 2011)

Input interface using event-related potential P3. - Hidenori Boutani; Mieko Ohsuga (EMBC, 2012)

Applicability of the "Emotiv EEG Neuroheadset" as a user-friendly input interface. - Hidenori Boutani; Mieko Ohsuga (EMBC, 2013)

Basic study on the most relaxing respiration period in children to aid the development of a respiration-leading stuffed toy. - Hiroki Uratani; Kohzoh Yoshino; Mieko Ohsuga (EMBC, 2014)

Tactile Phantom Sensation for Coaching Respiration Timing. - Takashi G. Sato; Mieko Ohsuga; Hidenori Boutani; Takehiro Moriya (IEEE Trans. Haptics, 2015)

Evaluation of a Mental Care System for Patients Recuperating in a Sterile Room after Hematopoietic Cell Transplantation. - Shiho Joko; Mieko Ohsuga; Yuma Tada; Jun Ishikawa (EMBC, 2019)

Evaluation of the Tiller Switch Layout of a Tractor Using Eye-Fixation Related Potentials. - Naohito Yoshioka; Tomohiro Kimura; Yuzhuo Shu; Taro Okamatsu; Nobuyuki Araki; Mieko Ohsuga (EMBC, 2020)

Development of Exercise Promotion System Using Smartphone and AI Speaker. - Ryota Arai; Mieko Ohsuga (IICAIET, 2020)

Importance of the Features of Event-Related Potentials Used for a Machine Learning-Based Model Applied to Single-Trial Data during Oddball Task. - Naohito Yoshioka; Nobuyuki Araki; Mieko Ohsuga (EMBC, 2021)

A Study on Region of Interest in Remote PPG and an Attempt to Eliminate False Positive Results Using SVM Classification. - Hiroki Takeuchi; Mieko Ohsuga; Yoshiyuki Kamakura (IICAIET, 2021)

Possibilities and Research Issues for Measuring Human Emotions in Real Life. - Mieko Ohsuga (HCI (1), 2022)

Development of VR Exposure Therapy Support System for Social Anxiety Utilizing Anxiety Levels Estimated by Physiological Indices. - Mieko Ohsuga; Haruya Koba (HCI (46), 2022)

Assessment of car sickness in passengers using physiological indices. - Taichi Kojima; Mieko Ohsuga; Yoshiyuki Kamakura; Junji Hori; Shintaro Watanabe (SMC, 2022)

Proposal and Development of a System to Help Students Improve Self-Compassion. - Masashi Koizumi; Mieko Ohsuga (ICAT-EGVE (Posters & Demos), 2023)

Development and Assessment of a System to Help Students Improve Self-compassion. - Masashi Koizumi; Mieko Ohsuga; Juan Manuel Corchado (DCAI (1), 2024)

Combined Method Comprising Low Burden Physiological Measurements with Dry Electrodes and Machine Learning for Classification of Visually Induced Motion Sickness in Remote-Controlled Excavator. - Naohito Yoshioka; Hiroki Takeuchi; Yuzhuo Shu; Taro Okamatsu; Nobuyuki Araki; Yoshiyuki Kamakura; Mieko Ohsuga (Sensors, 2024)

Multimodal Cyber Space for Healing and Human Interaction for Hospitalized Patients. - Mieko Ohsuga; Yuma Tada (XR (3), 2025)