Tatsuhito Hasegawa

According to our database, Tatsuhito Hasegawa authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Expanding the Horizons of 1-D Tasks: Leveraging 2-D Convolutional Neural Networks Pretrained by ImageNet.

Zhao Zhongkai, Koki Takenaka, Tatsuhito Hasegawa

IEEE Internet Things J., October, 2024

2023

Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Koki Takenaka, Kei Kondo, Tatsuhito Hasegawa

Sensors, October, 2023

Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles.

Hyuga Tsutsumi, Kei Kondo, Koki Takenaka, Tatsuhito Hasegawa

Sensors, February, 2023

Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition.

Tatsuhito Hasegawa, Kazuma Kondo

IEEE Internet Things J., 2023

2022

A Comparative Study: Toward an Effective Convolutional Neural Network Architecture for Sensor-Based Human Activity Recognition.

Zhongkai Zhao, Satoshi Kobayashi, Kazuma Kondo, Tatsuhito Hasegawa, Makoto Koshino

IEEE Access, 2022

Domain-Robust Pre-Training Method for the Sensor-Based Human Activity Recognition.

Zhongkai Zhao, Tatsuhito Hasegawa

Proceedings of the International Conference on Machine Learning and Cybernetics, 2022

Unsupervised Representation Learning Method In Sensor Based Human Activity Recognition.

Koki Takenaka, Tatsuhito Hasegawa

Proceedings of the International Conference on Machine Learning and Cybernetics, 2022

2021

Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy.

Kazuma Kondo, Tatsuhito Hasegawa

Sensors, 2021

Detection of Motion on a Trampoline with a Smartwatch.

Satoshi Kobayashi, Tatsuhito Hasegawa

Sensors, 2021

Smartphone Sensor-based Human Activity Recognition Robust to Different Sampling Rates.

Tatsuhito Hasegawa

CoRR, 2021

Octave Mix: Data Augmentation Using Frequency Decomposition for Activity Recognition.

Tatsuhito Hasegawa

IEEE Access, 2021

Effects of Different Activities on Learning Efficiency of m-Learning Users.

Mahiro Imabeppu, Tatsuhito Hasegawa

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020

Fish Species Identification Using a CNN-based Multimodal Learning Method.

Hanano Masuda, Takahiro Jukei, Tatsuhito Hasegawa

Proceedings of the IVSP '20: 2nd International Conference on Image, 2020

CNN-based Criteria for Classifying Artists by Illustration Style.

Kazuma Kondo, Tatsuhito Hasegawa

Proceedings of the IVSP '20: 2nd International Conference on Image, 2020

2019

Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications.

Tatsuhito Hasegawa, Tatsuya Hatakenaka

Sensors, 2019

Automatic Electron Density Determination by Using a Convolutional Neural Network.

Tatsuhito Hasegawa, Shoya Matsuda, Atsushi Kumamoto, Fuminori Tsuchiya, Yoshiya Kasahara, Yoshizumi Miyoshi, Yasumasa Kasaba, Ayako Matsuoka, Iku Shinohara

IEEE Access, 2019

Interaction to Support the Learning of Typing for Beginners on Physical Keyboard by Projection Mapping.

Chikako Sono, Tatsuhito Hasegawa

Proceedings of the ICIT 2019, 2019

Deep Metric Learning for Sensor-based Human Activity Recognition.

Makoto Mizuno, Tatsuhito Hasegawa

Proceedings of the ICIT 2019, 2019

Estimation of Sidewalk Surface Type with a Smartphone.

Satoshi Kobayashi, Ren Katsurada, Tatsuhito Hasegawa

Proceedings of the ICIT 2019, 2019

Representation Learning by Convolutional Neural Network for Smartphone Sensor Based Activity Recognition.

Tatsuhito Hasegawa, Makoto Koshino

Proceedings of the CIIS 2019: The 2nd International Conference on Computational Intelligence and Intelligent Systems, 2019

Finger Recognition Using a Wearable Device while Typing.

Daisuke Hamazaki, Tatsuhito Hasegawa

Proceedings of the CIIS 2019: The 2nd International Conference on Computational Intelligence and Intelligent Systems, 2019

2018

Estimation of Road Snow Accumulation Using Smartphones to Create Snow Cover Maps for Pedestrians.

Ren Katsurada, Tatsuhito Hasegawa

Proceedings of the TENCON 2018, 2018

Touch-Typing Skills Estimation Using Eyewear.

Tatsuhito Hasegawa, Tatsuya Hatakenaka

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Determining Smartphone's Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes.

Tatsuhito Hasegawa, Satoshi Hirahashi, Makoto Koshino

IEEE Access, 2017

2016

Determining a smartphone's placement by material detection using harmonics produced in sound echoes.

Tatsuhito Hasegawa, Satoshi Hirahashi, Makoto Koshino

Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

2015

Analysis of Actual Smartphone Logs for Predicting the User's Routine Settings of Application Volume.

Tatsuhito Hasegawa, Makoto Koshino, Haruhiko Kimura

Proceedings of the 2015 IEEE International Conference on Systems, 2015

State magic: state estimation for Android smartphone.

Tatsuhito Hasegawa, Makoto Koshino, Satoshi Hirahashi, Haruhiko Kimura

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015