研究業績

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

Yuriya Nakamura and Lei Jing. (2024).
IEEE Access, 2024 (accepted)

Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning

Wei Guo, Shunsei Yamagishi and Lei Jing. (2024).
in IEEE Access, vol. 12, pp. 18821-18836, 2024

Recognizing Complex Activities by Combining Sequences of Basic Motions

Chenghong Lu, Wu-Chun Hsu, and Lei Jing. (2024).
Electronics 13, no. 2: 372.

PIFall: A Pressure Insole-Based Fall Detection System for the Elderly Using ResNet3D

Wei Guo, Xiaoyang Liu, Chenghong Lu, and Lei Jing. (2024). Electronics 13, no. 6: 1066.

Sign Language Recognition with Multimodal Sensors and Deep Learning Methods

Chenghong Lu, Misaki Kozakai, and Lei Jing.(2023).
Electronics12, no. 23: 4827.

The Extended Kalman Filterwith Improved Computation Time forPedestrian Dead Reckoning

Shunsei Yamagishi and Lei Jing.(2023).
in IEEE Sensors Letters, vol.7, no.12, pp.1-4, Dec.2023, Art no.6010404

3D Monitoring of Toothbrushing Regions and Force Using Multimodal Sensors andUnity

Haicu Li and Lei Jing.(2023).
in IEEE Access, vol. 11, pp. 94753-94771

Measurement of Hand Joint Angle Using Inertial-Based MotionCapture System

Chenghong Lu, Zeyang Dai and Lei Jing.(2023).
inIEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023, Art no. 9503211

Data Glove with Bending Sensor and Inertial Sensor Based on Weighted DTW Fusion for Sign Language Recognition

Chenghong Lu, Shingo Amino, and Lei Jing.(2023). Electronics12, no. 3: 613

A Virtual Reality Whiteboard System for Remote Collaboration Using Natural Handwriting

Jiangkun Wang and Lei Jing.(2022).
Electronics11, no. 24: 4152.

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