State magic: state estimation for Android smartphone. - Tatsuhito Hasegawa; Makoto Koshino; Satoshi Hirahashi; Haruhiko Kimura (UbiComp/ISWC Adjunct, 2015)

Analysis of Actual Smartphone Logs for Predicting the User's Routine Settings of Application Volume. - Tatsuhito Hasegawa; Makoto Koshino; Haruhiko Kimura (SMC, 2015)

Determining a smartphone's placement by material detection using harmonics produced in sound echoes. - Tatsuhito Hasegawa; Satoshi Hirahashi; Makoto Koshino (MobiQuitous, 2016)

Determining Smartphone's Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes. - Tatsuhito Hasegawa; Satoshi Hirahashi; Makoto Koshino (IEEE Access, 2017)

Touch-Typing Skills Estimation Using Eyewear. - Tatsuhito Hasegawa; Tatsuya Hatakenaka (SMC, 2018)

Estimation of Road Snow Accumulation Using Smartphones to Create Snow Cover Maps for Pedestrians. - Ren Katsurada; Tatsuhito Hasegawa (TENCON, 2018)

Finger Recognition Using a Wearable Device while Typing. - Daisuke Hamazaki; Tatsuhito Hasegawa (CIIS, 2019)

Representation Learning by Convolutional Neural Network for Smartphone Sensor Based Activity Recognition. - Tatsuhito Hasegawa; Makoto Koshino (CIIS, 2019)

Estimation of Sidewalk Surface Type with a Smartphone. - Satoshi Kobayashi; Ren Katsurada; Tatsuhito Hasegawa (ICIT, 2019)

Deep Metric Learning for Sensor-based Human Activity Recognition. - Makoto Mizuno; Tatsuhito Hasegawa (ICIT, 2019)

Interaction to Support the Learning of Typing for Beginners on Physical Keyboard by Projection Mapping. - Chikako Sono; Tatsuhito Hasegawa (ICIT, 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)

Touch-Typing Detection Using Eyewear: Toward Realizing a New Interaction for Typing Applications. - Tatsuhito Hasegawa; Tatsuya Hatakenaka (Sensors, 2019)

CNN-based Criteria for Classifying Artists by Illustration Style. - Kazuma Kondo; Tatsuhito Hasegawa (IVSP, 2020)

Fish Species Identification Using a CNN-based Multimodal Learning Method. - Hanano Masuda; Takahiro Jukei; Tatsuhito Hasegawa (IVSP, 2020)

Effects of Different Activities on Learning Efficiency of m-Learning Users. - Mahiro Imabeppu; Tatsuhito Hasegawa (TALE, 2021)

Octave Mix: Data Augmentation Using Frequency Decomposition for Activity Recognition. - Tatsuhito Hasegawa (IEEE Access, 2021)

Smartphone Sensor-based Human Activity Recognition Robust to Different Sampling Rates. - Tatsuhito Hasegawa (CoRR, 2021)

Detection of Motion on a Trampoline with a Smartwatch. - Satoshi Kobayashi; Tatsuhito Hasegawa (Sensors, 2021)

Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy. - Kazuma Kondo; Tatsuhito Hasegawa (Sensors, 2021)

Unsupervised Representation Learning Method In Sensor Based Human Activity Recognition. - Koki Takenaka; Tatsuhito Hasegawa (ICMLC, 2022)

Domain-Robust Pre-Training Method for the Sensor-Based Human Activity Recognition. - Zhongkai Zhao; Tatsuhito Hasegawa (ICMLC, 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)

Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition. - Tatsuhito Hasegawa; Kazuma Kondo (IEEE Internet Things J., 2023)

Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles. - Hyuga Tsutsumi; Kei Kondo; Koki Takenaka; Tatsuhito Hasegawa (Sensors, 2023)

Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition. - Koki Takenaka; Kei Kondo; Tatsuhito Hasegawa (Sensors, 2023)

Data Augmentation using Foundation model for Fine-grained Fish Species Identification. - Tatsuhito Hasegawa; Yuta Nakano (GCCE, 2024)

Background and Visual Feature-Aware Data Augmentation for FGIR via Image Generation. - Takuya Kato; Shion Serizawa; Mitsuki Okayama; Yuta Nakano; Tatsuhito Hasegawa (GCCE, 2024)

Estimation of Meal Residues Using Foundation Models. - Hideaki Masumoto; Tatsuhito Hasegawa; Atsuharu Horiuchi; Yuta Nakano; Kaisei Wada; Junko Yotsuya (GCCE, 2024)

Human Activity Recognition Model Capable of Handling Various Input Waveforms. - Tatsuhito Hasegawa (ICONIP (11), 2024)

Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection. - Shunsuke Sakai; Shunsuke Tsuge; Tatsuhito Hasegawa (ICONIP (1), 2024)

Expanding the Horizons of 1-D Tasks: Leveraging 2-D Convolutional Neural Networks Pretrained by ImageNet. - Zhongkai Zhao; Koki Takenaka; Tatsuhito Hasegawa (IEEE Internet Things J., 2024)

Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction. - Mitsuki Okayama; Tatsuhito Hasegawa (IEEE Access, 2025)

Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation. - Shunsuke Sakai; Tatsuhito Hasegawa (CoRR, 2025)

Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification. - Tatsuhito Hasegawa; Shunsuke Sakai (CoRR, 2025)

Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation. - Wenmin Li; Shunsuke Sakai; Tatsuhito Hasegawa (CoRR, 2025)