Research Topics

I am developing measurement, display and control technologies that seamlessly connect people and machines for understanding, supporting, optimizing and enhancing the ability of humans and robots in the real world. My research strategy is to design a unobtrusive and intelligent haptic interface based on biophysics, mechatronics and computer science. Other research topics are related to biomechanics, bioinstrumentation, virtual reality, human-robot-interaction, nerve-machine-interface, and haptics.

Sensor Device

S. Hayashi, S. Yoshimoto, A. Yamamoto, Noncontact 2-D Temperature Imaging of Metallic Foils Using Electromagnetic Tomography. IEEE Sensors Journal, Vol.23, No.16, pp.17942-17950, 2023.

A. Kojima, S. Yoshimoto, A. Yamamoto, Optimization of Electrode Positions for Equalizing Local Spatial Performance of a Tomographic Tactile Sensor. Frontiers in Robotics and AI, section Smart Sensor Networks and Autonomy, Vol.10, No.1157911, pp.1-9, 2023.

Z. Li, S. Yoshimoto, A. Yamamoto, Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking. Sensors, Vol.21, No.8, pp.2736:1-16, 2021.

S. Yoshimoto, Y. Kuroda, O. Oshiro, Tomographic Approach for Universal Tactile Imaging with Electromechanically Coupled Conductors. IEEE Transactions on Industrial Electronics, Vol.67, No.1, pp.627-636, 2020.

S. Hattori, S. Yoshimoto, A. Yamamoto, Wearable Skin Resistance-based Tomographic Sensor for Imaging Contact Pressure Distribution on the Human Body. In Proc. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 290:1-4, Sydney, Austlaria, 2023.

R. Asahi, S. Yoshimoto, H. Sato, Tomographic tactile sensor-based finger motion analysis system to identify number of grasping fingers for evaluating fine motor skills. In Proc. 2023 IEEE International Symposium on Medical Measurements and Applications, pp.1-6, Jeju, South Korea, 2023.

H. Mitsubayashi, S. Yoshimoto, A. Yamamoto, Adaptive Potential Scanning for a Tomographic Tactile Sensor with High Spatio-Temporal Resolution. In Proc. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.9827-9832, Las Vegas, USA (online), 2020.

Bioimaging

S. Yoshimoto, Y. Toyoda, A. Yamamoto, Influence of Electrode Positions on Performance of Hand Motion Capture using EIT. IEEE Transactions on Medical Robotics and Bionics, Vol.4, No.1, pp.285-288, 2022 (in Japanese).

S. Yoshimoto, N. Ikemoto, H. Ishizuka, S. Ikeda, Y. Kuroda, O. Oshiro, Efficient and Robust Detection of Local Impedance Changes using Selected Electrical Excitation Conditions. IEEE Access, Vol.8, No., pp.205778-205787, 2020.

S. Yoshimoto, S. Hinatsu, Y. Kuroda, O. Oshiro, Hemodynamic Sensing of 3-D Fingertip Force by using Non-pulsatile and Pulsatile Signals in the Proximal Part. IEEE Transactions on Biomedical Circuits and Systems, Vol.12, No.5, pp.1155 - 1164, 2018.

S. Yoshimoto, Y. Kuroda, O. Oshiro, Estimation of Object Elasticity by Capturing Fingernail Images during Haptic Palpation. IEEE Transactions on Haptics, Vol.11, No.2, pp.204-211, 2018.

J. Kawaguchi, S. Yoshimoto, Y. Kuroda, O. Oshiro, Estimation of Finger Joint Angles Based on Electromechanical Sensing of Wrist Shape. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.25, No.9, pp.1409-1418, 2017.

M. Kondo, S. Yoshimoto, A. Yamamoto, Influence of Excitation Frequency on the Performance of Peripheral Blood Flow Imaging using Electrical Impedance Tomography. In Proc. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 292:1-4, Sydney, Austlaria, 2023.

Haptic Interface

S. Yoshimoto, A. Yamamoto, Pressure Stimulus to the Palm Substitutes and Augments Force Sensation. IEEE Transactions on Haptics, Vol.14, No.4, pp.930-935, 2021 (in Japanese).

S. Yoshimoto, Y. Kuroda, M. Imura, O. Oshiro, K. Nozaki, Y. Taga, H. Machi, H. Tamagawa, Electrotactile Augmentation for Carving Guidance. IEEE Transactions on Haptics, Vol.9, No.1, pp.43-53, 2016.

S. Yoshimoto, Y. Kuroda, M. Imura, O. Oshiro, Material Roughness Modulation via Electrotactile Augmentation. IEEE Transactions on Haptics, Vol.8, No.2, pp.199-208, 2015.