Cited by 327Teleoperation and Haptic SystemsVirtual Reality Applications and ImpactsProsthetics and Rehabilitation Robotics

The DOI matches its Crossref record.

Dexmo: An Inexpensive and Lightweight Mechanical Exoskeleton for Motion Capture and Force Feedback in VR

Gu, Xiaochi, Zhang, Yifei, Sun, Weize, Bian, Yuanzhe, Zhou, Dao, Kristensson, Per Ola·2016·Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Abstract

We present Dexmo: an inexpensive and lightweight mechanical exoskeleton system for motion capturing and force feedback in virtual reality applications. Dexmo combines multiple types of sensors, actuation units and link rod structures to provide users with a pleasant virtual reality experience. The device tracks the user's motion and uniquely provides passive force feedback. In combination with a 3D graphics rendered environment, Dexmo provides the user with a realistic sensation of interaction when a user is for example grasping an object. An initial evaluation with 20 participants demonstrate that the device is working reliably and that the addition of force feedback resulted in a significant reduction in error rate. Informal comments by the participants were overwhelmingly positive.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/2858036.2858487

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 7

  1. Blake J., 2009, Haptic Glove With MR Brakes for Virtual Reality. Mechatronics, IEEE/ASME Transactions on, 14, 5
  2. 10.1109/TMECH.2002.1011262 · DOI
  3. 10.1109/WHC.2009.4810812 · DOI
  4. 10.1109/IRDS.2002.1041713 · DOI
  5. Ma Zhou, 2015, RML Glove;An Exoskeleton Glove Mechanism With Haptics Feedback. Mechatronics, IEEE/ASME Transactions on, 20, 2
  6. T. H., 1994, Proceedings of the ASME Winter Annual Meeting, Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
  7. 10.1145/1278280.1278291 · DOI

Cited by

Sorted by citations

Metadata

Authors
Gu, X., Zhang, Y., Sun, W., Bian, Y., Zhou, D., & Kristensson, P. O.
Affiliations
  • University of Cambridge (GB)
  • Dexta Robotics, Shenzhen, China
Venue
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2016-05-07
Pages
1991-1995
OpenAlex
W2397519240
Cited by
327
References
0
Citations by year
2026: 16 · 2025: 64 · 2024: 24 · 2023: 26 · 2022: 50 · 2021: 30 · 2020: 39 · 2019: 37 · 2018: 24 · 2017: 16
FWCI
63.46
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Keywords
motion capture, force feedback, virtual reality, low-cost wearable device, grasping, haptic interaction, sensor fusion

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review