ArticleSensors (Basel, Switzerland)2024
Tai Chi Movement Recognition and Precise Intervention for the Elderly Based on Inertial Measurement Units and Temporal Convolutional Neural Networks.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Impact of digital Tai Chi interventions on the physical and mental health of older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Effects of digitalized Tai Chi intervention on muscle function and physical performance in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Effects of digitalized traditional Chinese exercises on the physical and mental health and quality of life of older adults: a systematic review and meta-analysis of randomized controlled trials.Frontiers in public health · 2025Pooled it
- Movement-Based Interventions in Pre-Frail and Frail Older Adults: An Integrative Review of Clinical, Digital, and Implementation Evidence.Clinical interventions in aging · 2026Review
- A Formative Assessment System in Baduanjin Physical Education Based on Inertial Measurement Unit Motion Capture.Sensors (Basel, Switzerland) · 2025Article
- The Science of Tai Chi and Qigong as Whole Person Health-Part II: Evidence Gaps and Opportunities for Future Research and Implementation.Journal of integrative and complementary medicine · 2025Review
- Recent Advances in Multimodal Non-Pharmacological Interventions for Late-Life Depression.Neuropsychiatric disease and treatment · 2025Review
- The Effect of Tai Chi (Bafa Wubu) Training and Artificial Intelligence-Based Movement-Precision Feedback on the Mental and Physical Outcomes of Elderly.Sensors (Basel, Switzerland) · 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.
Funding
Abstract
(1) Background: The objective of this study was to recognize tai chi movements using inertial measurement units (IMUs) and temporal convolutional neural networks (TCNs) and to provide precise interventions for elderly people. (2) Methods: This study consisted of two parts: firstly, 70 skilled tai chi practitioners were used for movement recognition; secondly, 60 elderly males were used for an intervention study. IMU data were collected from skilled tai chi practitioners performing Bafa Wubu, and TCN models were constructed and trained to classify these movements. Elderly participants were divided into a precision intervention group and a standard intervention group, with the former receiving weekly real-time IMU feedback. Outcomes measured included balance, grip strength, quality of life, and depression. (3) Results: The TCN model demonstrated high accuracy in identifying tai chi movements, with percentages ranging from 82.6% to 94.4%. After eight weeks of intervention, both groups showed significant improvements in grip strength, quality of life, and depression. However, only the precision intervention group showed a significant increase in balance and higher post-intervention scores compared to the standard intervention group. (4) Conclusions: This study successfully employed IMU and TCN to identify Tai Chi movements and provide targeted feedback to older participants. Real-time IMU feedback can enhance health outcome indicators in elderly males.
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What Socratic 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 Socratic graph.