OSIRITap: Whole-Body Interface that Recognizes Tap Input Using Only an HMD and Wrist-Mounted IMUs

Virtual and mixed reality (VR/MR) technologies have recently enhanced gesture recognition and motion tracking. While on-body interaction has been widely explored for system input, it suffers from input area limitations and the need for customized or expensive devices. Our proposal, OSIRITap, utilizes only an HMD and wrist-worn IMUs to realize full-body tap input. It performs whole body and hand tracking by the HMD when the hands are within the field of view (FoV) and by combining HMD and IMU when the hands are outside the FoV. Experiments confirm that the technique can recognize taps on various body parts. Additionally, we implement two applications to showcase the effectiveness of our approach.

Authors

Institutions

Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1145/3677386.3688871
Citations
1
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
0.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OSIRITap: Whole-Body Interface that Recognizes Tap Input Using Only an HMD and Wrist-Mounted IMUs

Hiroyuki Manabe, Naoki Kunieda
1 citations
Interactive and Immersive Displays
0.37
article

OSIRITap: Whole-Body Interface that Recognizes Tap Input Using Only an HMD and Wrist-Mounted IMUs

Hiroyuki Manabe, Naoki Kunieda
article en
1 citations

Abstract

Virtual and mixed reality (VR/MR) technologies have recently enhanced gesture recognition and motion tracking. While on-body interaction has been widely explored for system input, it suffers from input area limitations and the need for customized or expensive devices. Our proposal, OSIRITap, utilizes only an HMD and wrist-worn IMUs to realize full-body tap input. It performs whole body and hand tracking by the HMD when the hands are within the field of view (FoV) and by combining HMD and IMU when the hands are outside the FoV. Experiments confirm that the technique can recognize taps on various body parts. Additionally, we implement two applications to showcase the effectiveness of our approach.

Shibaura Institute of Technology (JP)
Openalex Percentile: Top 40%
Interactive and Immersive Displays
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.