ArticleNature communications2024
Stretchable glove for accurate and robust hand pose reconstruction based on comprehensive motion data.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- A Low-Cost, Accurate, and Easily-Worn E-Skin and IMU Hand Kinematic Measurement System.Sensors (Basel, Switzerland) · 2026Article
- Clarifying the landscape of mechanical sensors from stress to strain.Nature sensors · 2026Article
- Microscale Architectures for Intelligent Soft Robotics: From Functional Microneedles to Biointegrated Wearable Systems.Nano-micro letters · 2026Review
- A Smart Textile-Based Tactile Sensing System for Multi-Channel Sign Language Recognition.Sensors (Basel, Switzerland) · 2025Article
- Design and Evaluation of a Soft Robotic Actuator with Non-Intrusive Vision-Based Bending Measurement.Sensors (Basel, Switzerland) · 2025Article
- Stimulating localizable sensations.Nature biomedical engineering · 2025Article
- Bio-Inspired Ionic Sensors: Transforming Natural Mechanisms into Sensory Technologies.Nano-micro letters · 2025Review
- Fully 3D-Printed Soft Capacitive Sensor of High Toughness and Large Measurement Range.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
We propose a compact wearable glove capable of estimating both the finger bone lengths and the joint angles of the wearer with a simple stretch-based sensing mechanism. The soft sensing glove is designed to easily stretch and to be one-size-fits-all, both measuring the size of the hand and estimating the finger joint motions of the thumb, index, and middle fingers. The system was calibrated and evaluated using comprehensive hand motion data that reflect the extensive range of natural human hand motions and various anatomical structures. The data were collected with a custom motion-capture setup and transformed into the joint angles through our post-processing method. The glove system is capable of reconstructing arbitrary and even unconventional hand poses with accuracy and robustness, confirmed by evaluations on the estimation of bone lengths (mean error: 2.1 mm), joint angles (mean error: 4.16°), and fingertip positions (mean 3D error: 4.02 mm), and on overall hand pose reconstructions in various applications. The proposed glove allows us to take advantage of the dexterity of the human hand with potential applications, including but not limited to teleoperation of anthropomorphic robot hands or surgical robots, virtual and augmented reality, and collection of human motion data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.