Erwin Wu

schoolInstitute of Science Tokyobar_chart#1514 Global Rank

Total Papers

HCI Rank

#1514

Research Areas

Years Active

Recent Publications

Sensing Your Vocals: Exploring the Activity of Vocal Cord Muscles for Pitch Assessment Using Electromyography and Ultrasonography

Vocal training is difficult because the muscles that control pitch, resonance, and phonation are internal and invisible to learners. This paper investigates how Electromyography (EMG) and ultrasonic imaging (UI) can make these muscles observable for training purposes. We report three studies. First, we analyze the E…

CHI '265th+ AuthorHonorable MentionHuman Pose & Activity Recognition +3

SoleCoach: Sole Pressure and IMU-based MLLMs for Skill Coaching

In sports training, individualized skill assessment and feedback are essential for athletes to master complex movements and enhance performance. Existing approaches for generating coaching comments primarily rely on externally captured pose information, which limits their applicability in outdoor sports such as skiing…

CHI '255th+ AuthorHuman Pose & Activity Recognition +1

PiaMuscle: Improving Piano Skill Acquisition by Cost-effectively Estimating and Visualizing Activities of Miniature Hand Muscles

Understanding neuromusculoskeletal mechanisms significantly impacts skill specialization and proficiency. While existing methods can infer large muscle activities during gross motor movements, the estimation of dexterous motor control involving miniature muscles remains underexplored. Targeting the coordinated hand mu…

UIST '241st AuthorFoot & Wrist Interaction +1

SolePoser: Real-Time 3D Human Pose Estimation using Insole Pressure Sensors

We propose SolePoser, a real-time 3D pose estimation system that leverages only a single pair of insole sensors. Unlike conventional methods relying on fixed cameras or bulky wearable sensors, our approach offers minimal and natural setup requirements. The proposed system utilizes pressure and IMU sensors embedded in…

CHI '232nd AuthorEye Tracking & Gaze Interaction +2

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

An omni-directional (360°) camera captures the entire viewing sphere surrounding its optical center. Such cameras are growing in use to create highly immersive content and viewing experiences. When such a camera is held by a user, the view includes the user's hand grip, finger, body pose, face, and the surrounding env…

UIST '201st AuthorHand Gesture Recognition +1

Back-Hand-Pose: 3D Hand Pose Estimation for a Wrist-worn Camera via Dorsum Deformation Network

The automatic recognition of how people use their hands and fingers in natural settings – without instrumenting the fngers – can be useful for many mobile computing applications. To achieve such an interface, we propose a vision-based 3D hand pose estimation framework using a wrist-worn camera. The main challenge is t…

UIST '192nd AuthorFoot & Wrist Interaction +1

Opisthenar: Hand Poses and Finger Tapping Recognition by Observing Back of Hand Using Embedded Wrist Camera

We introduce a vision-based technique to recognize hand poses and gestures by simply observing changes on the back of the hand. Our approach employs a camera on the wrist, which we envisage can be included in a wrist-worn device such as a smartwatch, fitness tracker or wristband. However, in this configuration the fi…

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