2022
DOI: 10.1109/access.2022.3227344
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Gait Phase Estimation of Unsupervised Outdoors Walking Using IMUs and a Linear Regression Model

Abstract: Human gait analysis and detection are critical for many applications, including wearable and rehabilitation robotic devices, reducing or tracking injury risk. The proposed work allows researchers to study the gait phase of human subjects in an unsupervised outdoor environment without the need for fixed thresholds and sensor-embedded insoles. We present an experimental protocol to label gait events based on patterns in human subjects from two body-worn inertial measurement units (IMUs). Gait patterns are develo… Show more

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Cited by 4 publications
(3 citation statements)
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References 39 publications
(44 reference statements)
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“…We found heel strikes and toe offs from IMUs on the lateral longitudinal arch of the feet. We found the peaks in vertical acceleration surrounding the near zero velocity region that indicates stance phase similar to what is described in previous research [ 43 ]. We ensured the validity of the gait events by comparing the IMU detected gait events and treadmill detected gait events during our indoor walking trials.…”
Section: Methodssupporting
confidence: 87%
See 1 more Smart Citation
“…We found heel strikes and toe offs from IMUs on the lateral longitudinal arch of the feet. We found the peaks in vertical acceleration surrounding the near zero velocity region that indicates stance phase similar to what is described in previous research [ 43 ]. We ensured the validity of the gait events by comparing the IMU detected gait events and treadmill detected gait events during our indoor walking trials.…”
Section: Methodssupporting
confidence: 87%
“…indicates stance phase similar to what is described in previous research [43]. We ensured the validity of the gait events by comparing the IMU detected gait events and treadmill detected gait events during our indoor walking trials.…”
Section: Plos Onementioning
confidence: 62%
“…While indoor treadmill walking provides steady-state conditions, it cannot accurately reflect all aspects of a real-world environment. Outdoor trials reflect the presence of obstacle avoidance, variable walking speed, changes in direction, and uneven terrain ( Parker et al, 2021 ; Schmitt et al, 2021 ; Semaan et al, 2022 ; Soliman et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%