ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021
A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.
- Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers' Perspective.JMIR mHealth and uHealth · 2024Pooled it
- Researching the application of virtual reality in medical education: one-year follow-up of a randomized trial.BMC medical education · 2023Trial
- Flexoelectricity and ion transport synergy for high efficient energy conversion.Science advances · 2026Article
- Self-powered intelligence for personalized healthcare.National science review · 2026Review
- Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human-Machine Interface Systems.Nano-micro letters · 2026Review
- Emergency Clinical Decision for Sports Injury Management: A Wearable Sensor-Driven Framework from Training to Rehabilitation.Biosensors · 2026Review
- A triboelectric-piezoelectric-electromagnetic self-powerd wearable sensor for long-term human rehabilitation training monitoring.Scientific reports · 2025Article
- Muscle Strength Training and Monitoring Device Based on Triboelectric Nanogenerator for Knee Joint Surgery.Micromachines · 2025Article
- Machine learning-assisted triboelectric nanogenerator technology for intelligent sports.Science advances · 2025Review
- Wearable Technology in Piano Training: Improving Posture and Motion Precision with Biofeedback Devices Like Upright Go.Applied psychophysiology and biofeedback · 2025Article
- AI-Driven TENGs for Self-Powered Smart Sensors and Intelligent Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Article
- Advanced Piezoelectric Materials, Devices, and Systems for Orthopedic Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Biowaste-Derived Triboelectric Nanogenerators for Emerging Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Article
- A Fully Self-Powered Wearable Leg Movement Sensing System for Human Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Clinical applications of smart wearable sensors.iScience · 2023Review
- Article
- Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform.Bioelectronic medicine · 2023Review
- Wearable Triboelectric Nanogenerator with Ground-Coupled Electrode for Biomechanical Energy Harvesting and Sensing.Biosensors · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Lower-limb motion monitoring is highly desired in various application scenarios ranging from rehabilitation to sports training. However, there still lacks a cost-effective, energy-saving, and computational complexity-reducing solution for this specific demand. Here, a motion capturing and energy harvesting hybridized lower-limb (MC-EH-HL) system with 3D printing is demonstrated. It enables low-frequency biomechanical energy harvesting with a sliding block-rail piezoelectric generator (S-PEG) and lower-limb motion sensing with a ratchet-based triboelectric nanogenerator (R-TENG). A unique S-PEG is proposed with particularly designed mechanical structures to convert lower-limb 3D motion into 1D linear sliding on the rail. On the one hand, high output power is achieved with the S-PEG working at a very low frequency, which realizes self-sustainable systems for wireless sensing under the Internet of Things framework. On the other hand, the R-TENG gives rise to digitalized triboelectric output, matching the rotation angles to the pulse numbers. Additional physical parameters can be estimated to enrich the sensory dimension. Accordingly, demonstrative rehabilitation, human-machine interfacing in virtual reality, and sports monitoring are presented. This developed hybridized system exhibits an economic and energy-efficient solution to support the need for lower-limb motion tracking in various scenarios, paving the way for self-sustainable multidimensional motion tracking systems in near future.
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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.