ArticleSensors (Basel, Switzerland)2020
Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion.
Article 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 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Role of Multi-Sensor Measurement in the Assessment of Movement Quality: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Conversion of Upper-Limb Inertial Measurement Unit Data to Joint Angles: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Epidemiological characteristics of injuries among elite adolescent flat-water kayak and canoe athletes.Frontiers in public health · 2025Article
- Advancements in Performance Monitoring: A Systematic Review of Sensor Technologies in Rowing and Canoeing Biomechanics.Sports (Basel, Switzerland) · 2024Review
- Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives.JMIR formative research · 2024Article
- Optimization system for training efficiency and load balance based on the fusion of heart rate and inertial sensors.Preventive medicine reports · 2024Article
- Ubiquitous Computing in Sports and Physical Activity-Recent Trends and Developments.Sensors (Basel, Switzerland) · 2022Article
- Motion Analysis of Football Kick Based on an IMU Sensor.Sensors (Basel, Switzerland) · 2022Article
- Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review.Sensors (Basel, Switzerland) · 2022Article
- Paddle Stroke Analysis for Kayakers Using Wearable Technologies.Sensors (Basel, Switzerland) · 2021Article
- Human and Animal Motion Tracking Using Inertial Sensors.Sensors (Basel, Switzerland) · 2020Article
- Kinematic Analysis of the Postural Demands in Professional Soccer Match Play Using Inertial Measurement Units.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coaches and athletes are constantly seeking novel training methodologies in an attempt to improve athletic performance. This paper proposes a method of rowing sport capture and analysis based on Inertial Measurement Units (IMUs). A canoeist's motion was collected by multiple miniature inertial sensor nodes. The gradient descent method was used to fuse data and obtain the canoeist's attitude information after sensor calibration, and then the motions of canoeist's actions were reconstructed. Stroke quality was performed based on the estimated joint angles. Machine learning algorithm was used as the classification method to divide the stroke cycle into different phases, including propulsion-phase and recovery-phase, a quantitative kinematic analysis was carried out. Experiments conducted in this paper demonstrated that our method possesses the capacity to reveal the similarities and differences between novice and coach, the whole process of canoeist's motions can be analyzed with satisfactory accuracy validated by videography method. It can provide quantitative data for coaches or athletes, which can be used to improve the skills of rowers.
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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.