Erwin Wu

About Erwin Wu

Erwin Wu, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Tokyo Institute of Technology, specializes in the field of Computer Vision, Human Computer Interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

ARpenSki: Augmenting Ski Training with Direct and Indirect Postural Visualization

Exploration of Sonification Feedback for People with Visual Impairment to Use Ski Simulator

SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and Electromyography

PianoSyncAR: Enhancing Piano Learning through Visualizing Synchronized Hand Pose Discrepancies in Augmented Reality

Marker-removal Networks to Collect Precise 3D Hand Data for RGB-based Estimation and its Application in Piano

Pianohandsync: An alignment-based hand pose discrepancy visualization system for piano learning

OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera

Ai coach: A motor skill training system using motion discrepancy detection

Erwin Wu Information

University

Position

___

Citations(all)

407

Citations(since 2020)

406

Cited By

75

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Erwin Wu Skills & Research Interests

Computer Vision

Human Computer Interaction

Top articles of Erwin Wu

Title

Journal

Author(s)

Publication Date

ARpenSki: Augmenting Ski Training with Direct and Indirect Postural Visualization

Takashi Matsumoto

Erwin Wu

Chen-Chieh Liao

Hideki Koike

2024/3/16

Exploration of Sonification Feedback for People with Visual Impairment to Use Ski Simulator

Yusuke Miura

Erwin Wu

Masaki Kuribayashi

Hideki Koike

Shigeo Morishima

2023/3/12

SkiTech: An Alpine Skiing and Snowboarding Dataset of 3D Body Pose, Sole Pressure, and Electromyography

Erwin Wu

Takashi Matsumoto

Chen-Chieh Liao

Ruofan Liu

Hidetaka Katsuyama

...

2023/10/29

PianoSyncAR: Enhancing Piano Learning through Visualizing Synchronized Hand Pose Discrepancies in Augmented Reality

Ruofan Liu

Erwin Wu

Chen-Chieh Liao

Hayato Nishioka

Shinichi Furuya

...

2023/10/16

Marker-removal Networks to Collect Precise 3D Hand Data for RGB-based Estimation and its Application in Piano

Erwin Wu

Hayato Nishioka

Shinichi Furuya

Hideki Koike

2023

Pianohandsync: An alignment-based hand pose discrepancy visualization system for piano learning

Ruofan Liu

Erwin Wu

Chen-Chieh Liao

Hayato Nishioka

Shinichi Furuya

...

2023/4/19

OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera

Hui-Shyong Yeo

Erwin Wu

Daehwa Kim

Juyoung Lee

Hyung-il Kim

...

2023/4/19

Ai coach: A motor skill training system using motion discrepancy detection

Chen-Chieh Liao

Dong-Hyun Hwang

Erwin Wu

Hideki Koike

2023/3/12

A Real-time Distance Learning System for Alpine Skiing Using Virtual Reality

Shigeharu Ono

Erwin Wu

Hideaki Kanai

Hideki Koike

2023/11/28

A distance learning system with shareable physical information for ski training

Shigeharu Ono

Hideaki Kanai

Erwin Wu

Hideki Koike

2022/11/29

Augmenting VR Ski Training using Time Distortion

Takashi Matsumoto

Erwin Wu

Hideki Koike

2022/3/12

Context-aware Risk Degree Prediction for Smartphone Zombies

Erwin Wu

Chen-Chieh Liao

Ruofan Liu

Hideki Koike

2022/7/27

Synchronized Hand Difference Visualization for Piano Learning

Ruofan Liu

Erwin Wu

Chen-Chieh Liao

Hayato Nishioka

Shinichi Furuya

...

2022/7/27

Using Rhythm Game to Train Rhythmic Motion in Sports

Hidetaka Katsuyama

Erwin Wu

Hideki Koike

2022/12/6

Temporal and Spatial Distortion for VR Rhythmic Skill Training

Takashi Matsumoto

Erwin Wu

Hideki Koike

2022/12/6

Skisim: A comprehensive study on full body motion capture and real-time feedback in vr ski training

Jana Hoffard

Xuan Zhang

Erwin Wu

Takuto Nakamura

Hideki Koike

2022/3/13

A Study on Sonification Method of Simulator-Based Ski Training for People with Visual Impairment

Yusuke Miura

Masaki Kuribayashi

Erwin Wu

Hideki Koike

Shigeo Morishima

2022/12/6

Skiing, fast and slow: evaluation of time distortion for VR Ski training

Takashi Matsumoto

Erwin Wu

Hideki Koike

2022/3/13

A feature extraction method for classifying beginner and expert skier on a ski simulatour using deep learning

ACM CHI2021 Workshop: Human Augmentation for Skill Acquisition and Skill Transfer (HAA2021) Collocated with The ACM CHI Conference on Human Factors in Computing Systems

Ryosuke Atsumi

Hideaki Kanai

Erwin Wu

Hideki Koike

2021

Watch-your-skiing: Visualizations for vr skiing using real-time body tracking

Xuan Zhang

Erwin Wu

Hideki Koike

2021/10/4

See List of Professors in Erwin Wu University(Tokyo Institute of Technology)

Co-Authors

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