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Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2871328
Abstract: To control an exoskeleton robot, gait event (phase) of the robot needs to be identified. This paper presents a novel gait event detection method for a lower extremity exoskeleton robot based on an intelligent inertial…
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Keywords:
exoskeleton robot;
lower extremity;
detection;
gait event ... See more keywords
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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3406596
Abstract: Gait event detection is an essential approach to execute accurate gait recognition, and many studies use portable and reliable inertial measurement units (IMUs) for gait event detection. The popular methods mainly pay attention to the…
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Keywords:
logic;
gait event;
event;
based fuzzy ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3546182
Abstract: The accurate detection of gait events, such as heel strike (HS) and toe off (TO), is critical for the implementation of many lower limb exoskeleton control strategies. While underfoot force sensors are commonly used, their…
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Keywords:
detection;
gait event;
event detection;
real time ... See more keywords
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Published in 2025 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2025.3596319
Abstract: Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While several algorithms have been proposed for gait…
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Keywords:
detection;
detection algorithms;
gait event;
performance ... See more keywords
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Published in 2025 at "Journal of NeuroEngineering and Rehabilitation"
DOI: 10.1186/s12984-025-01560-9
Abstract: Accurate detection of gait events in older adults, particularly during perturbed walking, is essential for evaluating balance control and fall risk. Traditional force plate-based methods often face limitations in perturbed walking scenarios due to the…
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Keywords:
detection;
gait event;
perturbed walking;
older adults ... See more keywords
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1
Published in 2023 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2023.1104000
Abstract: We propose a co-simulation framework comprising biomechanical human body models and wearable inertial sensor models to analyse gait events dynamically, depending on inertial sensor type, sensor positioning, and processing algorithms. A total of 960 inertial…
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Keywords:
estimation;
gait event;
sensor;
simulation ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152211974
Abstract: Background: Gait event detection from inertial sensors offers scalable insights into locomotor health, with applications in clinical monitoring and mobile health. However, supervised methods are limited by scarce annotations, device variability, and sensor placement shifts.…
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Keywords:
performance;
gait event;
event detection;
medicine ... See more keywords
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1
Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10020212
Abstract: Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait disturbances…
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Keywords:
event prediction;
prediction using;
event;
gait event ... See more keywords
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Published in 2024 at "Bioengineering"
DOI: 10.3390/bioengineering11080806
Abstract: The Dynamic Gait Event Identifier (DGEI) introduces a pioneering approach for real-time gait event detection that seamlessly aligns with the needs of embedded system design and optimization. DGEI creates a new standard for gait analysis…
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Keywords:
detection;
time;
analysis;
gait event ... See more keywords
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2
Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20043120
Abstract: Inertial measurement units (IMUs) have shown promising outcomes for estimating gait event detection (GED) and ground reaction force (GRF). This study aims to determine the best sensor location for GED and GRF prediction in gait…
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Keywords:
gait event;
grf;
sensor;
sensor location ... See more keywords