Akihiko Murai

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Visiting Associate Professor

Tokyo Daigaku

Japan

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About

Akihiko Murai is a Visiting Associate Professor at Tokyo Daigaku in Japan. His research focuses on swimming biomechanics, including the dynamics of swimming velocity, body position, and muscular optimization. He has also explored psychological safety in co-creation processes and developed motion models for human running. His recent articles demonstrate a commitment to advancing the understanding of motion through innovative methodologies.

Recent Grants

Grant: Close

Parametric Representation of Motion Control Mechanism and Its Modification for Simulation and Prevention of Accident

Open Date: 2017-04-01

Close Date: 2021-03-31

Grant: Close

超人スポーツのための個人別環境身体ダイナミクス同定技術と身体能力拡張技術の研究

Open Date: 2016-04-01

Close Date: 2019-03-31

Grant: Close

Non-linear model for joint-muscle moment arm based on skeletal-subspace muscle deformation

Open Date: 2013-04-01

Close Date: 2016-03-31

Grant: Close

Japan Society for the Promotion of Science (JSPS) Research Fellowship for Young Scientists

Open Date: 2009-04-01

Close Date: 2010-03-01

Articles (15)

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2025

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2022

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2022

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2022

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2021

National Institute of Advanced Industrial Science and Technology

JAPAN

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Akihiko Murai

Research Interests

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Contact this professor

About

Recent Grants

Articles (15)

Exploring an Emoji-Based Evaluation and Intervention Method for Psychological Safety in Ongoing Co-Creations

Motion Tactics Model Combining Multiple Tactics to Represent Individual Differences in Human Running Motion

Torsion as a Mechanism for Enhancing Torso Mobility by Increasing Instantaneous Torque Transfer Ratio

Stroke phase differences in the linear relationship between swimming velocity and vertical body position during front crawl

Interpreting the Projected Frontal Area in Front Crawl: Determining the Projected Frontal Area of Each Body Segment

Role of kicking action in front crawl: the inter-relationships between swimming velocity, hand propulsive force and trunk inclination

Muscle Property Optimization Based on Motion Intentionality for Motor Skill Augmentation

Determination of subset models for predicting vertical centre of mass position during front crawl in male swimmers

Fast Inverse Kinematics Based on Pseudo-Forward Dynamics Computation: Application to Musculoskeletal Inverse Kinematics

Pattern Matching for Real-Time Extraction of Fast and Slow Spectral Components From sEMG Signals

Projected frontal area and its components during front crawl depend on lung volume

Vertical body position during front crawl increases linearly with swimming velocity and the rate of its increase depends on individual swimmers

DATSURYOKU: designing environment–body interaction for implicit muscle relief*

DATSURYOKU Sensor—A Capacitive-Sensor-Based Belt for Predicting Muscle Tension: Preliminary Results

Robustness analysis of decoding SSVEPs in humans with head movements using a moving visual flicker

Collaborators (8)

Eiichi Yoshida

Gaku Kutsuzawa

Shusuke Kanazawa

Sohei Washino

Yasuhide Yoshitake

Takaaki Tsunokawa

Takashi Kusaka

Ryusuke Sagawa

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