ArticleSensors (Basel, Switzerland)2019
Experimental Evaluation of UWB Indoor Positioning for Indoor Track Cycling.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning.Scientific reports · 2024Article
- Integrated UWB/MIMU Sensor System for Position Estimation towards an Accurate Analysis of Human Movement: A Technical Review.Sensors (Basel, Switzerland) · 2023Review
- Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring.Sensors (Basel, Switzerland) · 2022Review
- Behavior Modeling for a Beacon-Based Indoor Location System.Sensors (Basel, Switzerland) · 2021Article
- Fully Flexible Textile Antenna-Backed Sensor Node for Body-Worn UWB Localization.Sensors (Basel, Switzerland) · 2021Article
- A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems.Sensors (Basel, Switzerland) · 2020Article
- Distributed Multi-Antenna Positioning for Automatic-Guided Vehicle.Sensors (Basel, Switzerland) · 2020Article
- Cost-Effective Wearable Indoor Localization and Motion Analysis via the Integration of UWB and IMU.Sensors (Basel, Switzerland) · 2020Article
- A Meta-Review of Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2019Review
- Reliable Indoor Pseudolite Positioning Based on a Robust Estimation and Partial Ambiguity Resolution Method.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate radio frequency (RF)-based indoor localization systems are more and more applied during sports. The most accurate RF-based localization systems use ultra-wideband (UWB) technology; this is why this technology is the most prevalent. UWB positioning systems allow for an in-depth analysis of the performance of athletes during training and competition. There is no research available that investigates the feasibility of UWB technology for indoor track cycling. In this paper, we investigate the optimal position to mount the UWB hardware for that specific use case. Different positions on the bicycle and cyclist were evaluated based on accuracy, received power level, line-of-sight, maximum communication range, and comfort. Next to this, the energy consumption of our UWB system was evaluated. We found that the optimal hardware position was the lower back, with a median ranging error of 22 cm (infrastructure hardware placed at 2.3 m). The energy consumption of our UWB system is also taken into account. Applied to our setup with the hardware mounted at the lower back, the maximum communication range varies between 32.6 m and 43.8 m. This shows that UWB localization systems are suitable for indoor positioning of track cyclists.
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Registered trials
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