ReviewSensors (Basel, Switzerland)2020
Digital Twin Coaching for Physical Activities: A Survey.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging.JMIR AI · 2026Article
- Digital twin for Taekwondo athletes: integrating sports nutrition and psychological readiness using artificial intelligence.Frontiers in public health · 2026Review
- Review
- The effects of the generative adversarial network and personalized virtual reality platform in improving frailty among the elderly.Scientific reports · 2025Article
- Machine learning in healthcare citizen science: A scoping review.International journal of medical informatics · 2025Article
- Characteristics and perceived suitability of artificial intelligence-driven sports coaches: a pilot study on psychological and perceptual factors.Frontiers in sports and active living · 2025Article
- Semi-supervised Federated Learning for Digital Twin 6G-enabled IIoT: A Bayesian estimated approach.Journal of advanced research · 2024Article
- Deep learning-based human body pose estimation in providing feedback for physical movement: A review.Heliyon · 2024Review
- Machine Learning for IoT Applications and Digital Twins.Sensors (Basel, Switzerland) · 2024Article
- Advancements in Custom 3D-Printed Titanium Interbody Spinal Fusion Cages and Their Relevance in Personalized Spine Care.Journal of personalized medicine · 2024Article
- Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.Cell metabolism · 2024Review
- Review
- Study on the Applicability of Digital Twins for Home Remote Motor Rehabilitation.Sensors (Basel, Switzerland) · 2023Review
- Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion.Sensors (Basel, Switzerland) · 2022Article
- Mirror Clock: A Strategy for Identifying Atomic Clock Frequency Jumps.Sensors (Basel, Switzerland) · 2022Article
- Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm.Sensors (Basel, Switzerland) · 2022Review
- Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot.Frontiers in robotics and AI · 2022Article
- Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital Twin technology has been rising in popularity thanks to the popularity of machine learning in the last decade. As the life expectancy of people around the world is increasing, so is the focus on physical activity to remain healthy especially in the current times where people are staying sedentary while in quarantine. This article aims to provide a survey on the field of Digital Twin technology focusing on machine learning and coaching techniques as they have not been explored yet. We also define what Digital Twin Coaching is and categorize the work done so far in terms of the objective of the physical activity. We also list common Digital Twin Coaching characteristics found in the articles reviewed in terms of concepts such as interactivity, privacy and security and also detail future perspectives in multimodal interaction and standardization, to name a few, that can guide researchers if they choose to work in this field. Finally, we provide a diagram for the Digital Twin Ecosystem showing the interaction between relevant entities and the information flow as well as an idealization of an ideal Digital Twin Ecosystem for team sports' athlete tracking.
Indexed as
Identifiers
What OpenQuestion holds
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.