ArticleControl Technology and Applications. Control Technology and Applications2017
Real-Time Continuous Gait Phase and Speed Estimation from a Single Sensor.
Article in Control Technology and Applications. Control Technology and Applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- An accessible 2D video-based gait analysis framework with model-based illustration of joint torque and power trends.Scientific reports · 2026Article
- Real-Time Balancing of Stability and Plasticity in Continual Learning Enables Adaptive Speed Estimation for Lower-Limb Prostheses.IEEE transactions on medical robotics and bionics · 2025Article
- Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study.JMIR formative research · 2025Observational
- Online Adaptation Framework Enables Personalization of Exoskeleton Assistance During Locomotion in Patients Affected by Stroke.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025Article
- Continuous Gait Phase Estimation for Multi-Locomotion Tasks Using Ground Reaction Force Data.Sensors (Basel, Switzerland) · 2024Article
- A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study.JMIR mHealth and uHealth · 2024Article
- IMU-Based Real-Time Estimation of Gait Phase Using Multi-Resolution Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- Robustification of Bayesian-Inference-Based Gait Estimation for Lower-limb Wearable Robots.IEEE robotics and automation letters · 2024Article
- An Individual Prosthesis Control Method with Human Subjective Choices.Biomimetics (Basel, Switzerland) · 2024Article
- Evaluation of controllers for augmentative hip exoskeletons and their effects on metabolic cost of walking: explicit versus implicit synchronization.Frontiers in bioengineering and biotechnology · 2024Article
- Walking-Speed-Adaptive Gait Phase Estimation for Wearable Robots.Sensors (Basel, Switzerland) · 2023Article
- Ground-Reaction-Force-Based Gait Analysis and Its Application to Gait Disorder Assessment: New Indices for Quantifying Walking Behavior.Sensors (Basel, Switzerland) · 2022Article
- Nonholonomic Virtual Constraints for Control of Powered Prostheses Across Walking Speeds.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2022Article
- Seamless and intuitive control of a powered prosthetic leg using deep neural network for transfemoral amputees.Wearable technologies · 2022Article
- A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs.Frontiers in neurorobotics · 2022Article
- Estimation of Walking Speed and Its Spatiotemporal Determinants Using a Single Inertial Sensor Worn on the Thigh: From Healthy to Hemiparetic Walking.Sensors (Basel, Switzerland) · 2021Article
- A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses.Sensors (Basel, Switzerland) · 2020Review
- Variable Impedance Control of Powered Knee Prostheses Using Human-Inspired Algebraic Curves.Journal of computational and nonlinear dynamics · 2019Article
- A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis.IEEE access : practical innovations, open solutions · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Human gait involves a repetitive cycle of movements, and the phase of gait represents the location in this cycle. Gait phase is measured across many areas of study (e.g., for analyzing gait and controlling powered lower-limb prosthetic and orthotic devices). Current gait phase detection methods measure discrete gait events (e.g., heel strike, flat foot, toe off, etc.) by placing multiple sensors on the subject's lower-limbs. Using multiple sensors can create difficulty in experimental setup and real-time data processing. In addition, detecting only discrete events during the gait cycle limits the amount of information available during locomotion. In this paper we propose a real-time and continuous measurement of gait phase parameterized by a mechanical variable (i.e., phase variable) from a single sensor measuring the human thigh motion. Human subject experiments demonstrate the ability of the phase variable to accurately parameterize gait progression for different walking/running speeds (1 to 9 miles/hour). Our results show that this real-time method can also estimate gait speed from the same sensor.
Identifiers
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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.