Results 31 to 40 of about 705,710 (383)
Sensors, 2021 The present study compared the effect between walking exercise and a newly developed sensor-based gait retraining on the peaks of knee adduction moment (KAM), knee adduction angular impulse (KAAI), knee flexion moment (KFM) and symptoms and functions in ...
Sizhong Wang +9 more
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Space Weather, 2020 The Space Ionizing Radiation Environment and Effects (SIRE2) toolkit has been developed to update and extend the tools used by the space and radiation effects community.
J. H. Adams Jr. +9 more
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Frontiers in Neurology, 2021 This cross-sectional study aimed to examine the development of lower limb voluntary strength in 160 ambulatory patients with bilateral spastic cerebral palsy (CP) (106 diplegics/54 quadriplegics) and 86 typically developing (TD) controls, aged 7–16 years.
Nicolaos Darras +7 more
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Feature extraction from ear-worn sensor data for gait analysis [PDF]
, 2014 Gait analysis has a significant role in assessing human's walking pattern. It is generally used in sports science for understanding body mechanics, and it is also used to monitor patients' neuro-disorder related gait abnormalities.
Atallah, Louis +3 more
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Gait retraining: altering the fingerprint of gait [PDF]
Journal of Foot and Ankle Research, 2011 Running injuries are common and are often associated with overtraining. However, it is well-accepted that these injuries are related, in part, to abnormal running mechanics. While standard interventions often result in resolution of symptoms, if the underlying mechanics are not addressed, the risk for recurrence is high. This presentation will describe
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Gait recognition using a few gait frames
PeerJ Computer Science, 2021 Gait has been deemed as an alternative biometric in video-based surveillance applications, since it can be used to recognize individuals from a far distance without their interaction and cooperation. Recently, many gait recognition methods have been proposed, aiming at reducing the influence caused by exterior factors.
Qiang Wu +3 more
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Quantifying Variation in Gait Features from Wearable Inertial Sensors Using Mixed Effects Models [PDF]
, 2017 The emerging technology of wearable inertial sensors has shown its advantages in collecting continuous longitudinal gait data outside laboratories. This freedom also presents challenges in collecting high-fidelity gait data.
Chen, Shanshan +2 more
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2.5D multi-view gait recognition based on point cloud registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Gao, Yan +3 more
core +2 more sources
Gait-ViT: Gait Recognition with Vision Transformer
Sensors, 2022 Identifying an individual based on their physical/behavioral characteristics is known as biometric recognition. Gait is one of the most reliable biometrics due to its advantages, such as being perceivable at a long distance and difficult to replicate. The existing works mostly leverage Convolutional Neural Networks for gait recognition.
Jashila Nair Mogan +3 more
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What Can Quantitative Gait Analysis Tell Us about Dementia and Its Subtypes? A Structured Review [PDF]
, 2017 Distinguishing dementia subtypes can be difficult due to similarities in clinical presentation. There is increasing interest in discrete gait characteristics as markers to aid diagnostic algorithms in dementia.
Galna, Brook +5 more
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