ArticleBiomedical engineering online2020
Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison.
Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
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
42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 96 citations in OpenAlex.
- Perception, assessment, and coaching: a systematic review and taxonomy of computer vision-based physical rehabilitation techniques.Frontiers in rehabilitation sciences · 2026Pooled it
- Efficacy of Sensor-Based Training Using Exergaming or Virtual Reality in Patients with Chronic Low Back Pain: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Effect of Wearable Sensor-Based Exercise on Musculoskeletal Disorders in Individuals With Neurodegenerative Diseases: A Systematic Review and Meta-Analysis.Frontiers in aging neuroscience · 2022Pooled it
- Synchrony Vision: An RGB-D Sensor-Based System for Real-Time Monitoring and Event-Level Analysis of Interpersonal Motion Synchrony.Sensors (Basel, Switzerland) · 2026Article
- Game-based and gamification-enhanced telerehabilitation for physical therapy in people with multiple sclerosis: a scoping review.Biomedical engineering online · 2026Article
- Sensor game rehabilitation for children with severe motor and intellectual disabilities-medical care dependent group: feasibility case series study.Frontiers in rehabilitation sciences · 2026Article
- Effects of Exergame with Biofeedback Training on Functional Status, Cognition, and Quality of Life in Outpatients with Polyneuropathies: A Longitudinal Pilot Study.Brain sciences · 2025Article
- Accuracy and Variability of a Commercial Markerless Motion Capture System Compared to a Pressure Mat for Weight Distribution in Standing: Cross-Sectional Observational Study.JMIR formative research · 2025Observational
- Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment.PLOS digital health · 2025Article
- Behavioral Biometrics in VR: Changing Sensor Signal Modalities.Sensors (Basel, Switzerland) · 2025Article
- Pei-Wo Drone: a home-based exercise guidance system with a drone for older adults.Scientific reports · 2025Article
- Analysis of Kinect-Based Human Motion Capture Accuracy Using Skeletal Cosine Similarity Metrics.Sensors (Basel, Switzerland) · 2025Article
- Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis.BMC medical informatics and decision making · 2025Article
- Exploring Trends and Clusters in Human Posture Recognition Research: An Analysis Using CiteSpace.Sensors (Basel, Switzerland) · 2025Review
- A Diagnostic and Performance System for Soccer: Technical Design and Development.Sports (Basel, Switzerland) · 2025Article
- AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest.PeerJ. Computer science · 2025Article
- Challenges and Prospects of Sensing Technology for the Promotion of Tele-Physiotherapy: A Narrative Review.Sensors (Basel, Switzerland) · 2024Review
- Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024Review
- Technological monitoring of motor parameters to assess multidimensional frailty of older people in the PRO-HOME project.Scientific reports · 2024Article
- A machine learning approach for the design optimization of a multiple magnetic and inertial sensors wearable system for the spine mobility assessment.Journal of neuroengineering and rehabilitation · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEmerging sensing and communication technologies are contributing to the development of many motor rehabilitation programs outside the standard healthcare facilities. Nowadays, motor rehabilitation exercises can be easily performed and monitored even at home by a variety of motion-tracking systems. These are cheap, reliable, easy-to-use, and allow also remote configuration and control of the rehabilitation programs. The two most promising technologies for home-based motor rehabilitation programs are inertial wearable sensors and video-based motion capture systems.
methodsIn this paper, after a thorough review of the relevant literature, an original experimental analysis is reported for two corresponding commercially available solutions, a wearable inertial measurement unit and the Kinect, respectively. For the former, a number of different algorithms for rigid body pose estimation from sensor data were also tested. Both systems were compared with the measurements obtained with state-of-the-art marker-based stereophotogrammetric motion analysis, taken as a gold-standard, and also evaluated outside the lab in a home environment.
resultsThe results in the laboratory setting showed similarly good performance for the elementary large motion exercises, with both systems having errors in the 3-8 degree range. Usability and other possible limitations were also assessed during utilization at home, which revealed additional advantages and drawbacks for the two systems.
conclusionsThe two evaluated systems use different technology and algorithms, but have similar performance in terms of human motion tracking. Therefore, both can be adopted for monitoring home-based rehabilitation programs, taking adequate precautions however for operation, user instructions and interpretation of the results.
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.