Zobrazeno 1 - 10
of 1 751
pro vyhledávání: '"inertial measurement unit—IMU"'
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-22 (2024)
Abstract Wood plays an important ecological role in rivers. Yet challenges arise when large wood (LW) is mobilised and transported during floods. Due to a lack of quantitative data, movement behaviour of LW during floods is still not well understood
Externí odkaz:
https://doaj.org/article/402305f655fb48d6a1078e3664ad32b0
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33546- (2024)
Background: Accurate identification of gait events is crucial to reliable gait analysis. Heel rise, a key event marking the transition from mid-stance to terminal stance, poses challenges in precise detection due to its gradual nature. This leads to
Externí odkaz:
https://doaj.org/article/88c3f052a522472c88863513813de98d
Autor:
Patrick Grates
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 3, Pp 1-8 (2024)
In the field of sensors and instrumentation used for navigation, rotation of the instruments and sensors has been used extensively in navigation systems to remove errors due to bias, bias instability, and noise. Microelectronic mechanical systems (ME
Externí odkaz:
https://doaj.org/article/12a8cabfd223493ba0ea028f97664499
Autor:
Patrick Grates
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 3, Pp 1-13 (2024)
It is possible to supplement consumer navigation systems that are based solely on global navigation satellite system (GNSS) with inertial or magnetic field-based sensors so that an accurate navigation solution can be reached during periods of global
Externí odkaz:
https://doaj.org/article/1016c351546c429db19870f8c05523f9
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2961-2970 (2024)
Upper extremity (UE) impairment is common after stroke resulting in reduced arm use in daily life. A few studies have examined the use of wearable feedback of the quantity of arm movement to promote recovery, but with limited success. We posit that i
Externí odkaz:
https://doaj.org/article/790c15149dfc48a2877505ae4f72955d
Publikováno v:
IEEE Access, Vol 12, Pp 124718-124728 (2024)
An increasing number of stride length estimation (SLE) algorithms adopt deep learning due to its ability to automatically learn complex nonlinearities in the data. However, datasets with true stride length are small in size, posing a threat to networ
Externí odkaz:
https://doaj.org/article/f23d53906cc44167b3e259620d34e53e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6986-7001 (2024)
Simultaneous Localization and Mapping (SLAM) technology based on LiDAR can achieve real-time robot positioning and establish environmental maps in unknown environments. LiDAR odometry can achieve accurate pose estimation in short distances or small-s
Externí odkaz:
https://doaj.org/article/ff0d4abcc700478a965f8620b0a154cc
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1068-1077 (2024)
Sit-to-stand transition phase identification is vital in the control of a wearable exoskeleton robot for assisting patients to stand stably. In this study, we aim to propose a method for segmenting and identifying the sit-to-stand phase using two ine
Externí odkaz:
https://doaj.org/article/527d8e9594044ad08c61b9b6640c301f
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1034-1044 (2024)
While inertial measurement unit (IMU)-based motion capture (MoCap) systems have been gaining popularity for human movement analysis, they still suffer from long-term positioning errors due to accumulated drift and inefficient data transmission via Wi
Externí odkaz:
https://doaj.org/article/88b3043dacfe468984a301f874b47272
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10721 (2024)
The purpose of this study is to develop an optimized system for predicting Knee Adduction Moment (KAM) using wearable Inertial Measurement Unit (IMU) sensors and Long Short-Term Memory (LSTM) RNN. Traditional KAM measurement methods are limited by th
Externí odkaz:
https://doaj.org/article/9412bd9aaccb4cfd8920ac22f477b605