ArticleSensors (Basel, Switzerland)2017
Position Tracking During Human Walking Using an Integrated Wearable Sensing System.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- Progress in Data Acquisition of Wearable Sensors.Biosensors · 2022Review
- Improving Acetabular Component Positioning in Total Hip Arthroplasty: A Cadaveric Study of an Inertial Navigation Tool and a Novel Registration Method.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2022Article
- Artificial Neural Network Approach to Guarantee the Positioning Accuracy of Moving Robots by Using the Integration of IMU/UWB with Motion Capture System Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- The Toronto older adults gait archive: video and 3D inertial motion capture data of older adults' walking.Scientific data · 2022Article
- Three-dimensional continuous gait trajectory estimation using single Shank-Worn inertial measurement units and clinical walk test application.Scientific reports · 2022Article
- Wearable IMMU-Based Relative Position Estimation between Body Segments via Time-Varying Segment-to-Joint Vectors.Sensors (Basel, Switzerland) · 2022Article
- Towards Human Motion Tracking Enhanced by Semi-Continuous Ultrasonic Time-of-Flight Measurements.Sensors (Basel, Switzerland) · 2021Article
- A Pedestrian Dead Reckoning Method for Head-Mounted Sensors.Sensors (Basel, Switzerland) · 2020Article
- Pedestrian Navigation System with Trinal-IMUs for Drastic Motions.Sensors (Basel, Switzerland) · 2020Article
- Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors.Sensors (Basel, Switzerland) · 2020Article
- Magnetic Angular Rate and Gravity Sensor Based Supervised Learning for Positioning Tasks.Sensors (Basel, Switzerland) · 2019Article
- Performance Enhancement of Pedestrian Navigation Systems Based on Low-Cost Foot-Mounted MEMS-IMU/Ultrasonic Sensor.Sensors (Basel, Switzerland) · 2019Article
- A Walking-in-Place Method for Virtual Reality Using Position and Orientation Tracking.Sensors (Basel, Switzerland) · 2018Article
- Effect of Strapdown Integration Order and Sampling Rate on IMU-Based Attitude Estimation Accuracy.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Progress has been made enabling expensive, high-end inertial measurement units (IMUs) to be used as tracking sensors. However, the cost of these IMUs is prohibitive to their widespread use, and hence the potential of low-cost IMUs is investigated in this study. A wearable low-cost sensing system consisting of IMUs and ultrasound sensors was developed. Core to this system is an extended Kalman filter (EKF), which provides both zero-velocity updates (ZUPTs) and Heuristic Drift Reduction (HDR). The IMU data was combined with ultrasound range measurements to improve accuracy. When a map of the environment was available, a particle filter was used to impose constraints on the possible user motions. The system was therefore composed of three subsystems: IMUs, ultrasound sensors, and a particle filter. A Vicon motion capture system was used to provide ground truth information, enabling validation of the sensing system. Using only the IMU, the system showed loop misclosure errors of 1% with a maximum error of 4-5% during walking. The addition of the ultrasound sensors resulted in a 15% reduction in the total accumulated error. Lastly, the particle filter was capable of providing noticeable corrections, which could keep the tracking error below 2% after the first few steps.
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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.