Deep Learning Based Real-time Daily Human Activity Recognition and Its Implementation in a Smartphone. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (UR, 2019)

A New Motion Data Structuring for Human Activity Recognition Using Convolutional Neural Network. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (BioRob, 2020)

New Sensor Data Structuring for Deeper Feature Extraction in Human Activity Recognition. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (Sensors, 2021)

LocoESIS: Deep-Learning-Based Leg-Joint Angle Estimation from a Single Pelvis Inertial Sensor. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (BioRob, 2022)

Feedforward operational stiffness modulation and external force estimation of planar robots equipped with variable stiffness actuators. - Tatsuya Ohe; Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (Intell. Serv. Robotics, 2022)

Deep-Learning-Based Character Recognition from Handwriting Motion Data Captured Using IMU and Force Sensors. - Tsige Tadesse Alemayoh; Masaaki Shintani; Jae Hoon Lee; Shingo Okamoto (Sensors, 2022)

Leg Joint Angle Estimation From a Single Inertial Sensor During Variety of Walking Motions: A Deep Learning Approach. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (IEEE Access, 2023)

A Deep Learning Approach for Biped Robot Locomotion Interface Using a Single Inertial Sensor. - Tsige Tadesse Alemayoh; Jae Hoon Lee; Shingo Okamoto (Sensors, 2023)