Slip distribution and rupture history of the August 11, 2012, double earthquakes in Ahar – Varzaghan, Iran, using joint inversion of teleseismic broadband and local strong motion data
Sign Up to like & getrecommendations! Published in 2021 at "Physics of the Earth and Planetary Interiors"
DOI: 10.1016/j.pepi.2021.106688
Abstract: Abstract We use combined teleseismic and strong motion data sets to investigate finite-fault slip models for a double of earthquakes that occurred on August 11, 2012, in northwestern Iran near the cities of Ahar and… read more here.
Keywords: slip; inversion; strong motion; motion data ... See more keywords
A data-driven approach to decompose motion data into task-relevant and task-irrelevant components in categorical outcome
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59257-z
Abstract: Decomposition of motion data into task-relevant and task-irrelevant components is an effective way to clarify the diverse features involved in motor control and learning. Several previous methods have succeeded in this type of decomposition while… read more here.
Keywords: motion; task; task relevant; data task ... See more keywords
Corrigendum: Multimodal chest surface motion data for respiratory and cardiovascular monitoring applications
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Data"
DOI: 10.1038/sdata.2017.99
Abstract: This corrects the article DOI: 10.1038/sdata.2017.52. read more here.
Keywords: data respiratory; chest surface; surface motion; corrigendum multimodal ... See more keywords
Optimizing Neural Network as Locomotion Controller With Motion Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2834380
Abstract: This paper proposes a novel method of optimizing locomotion controller for virtual characters, which is constructed with the deep neural network and learned with the assistance of existing motion data. The learning is accomplished with… read more here.
Keywords: locomotion controller; neural network; motion data; network ... See more keywords
Scenario-based Sensed Human Motion Editing and Validation through the Motion-Sphere
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157939
Abstract: Synthesizing realistic human motion data using a real-time motion capture system in a controlled environment is a critical challenge. In addition, effectively manipulating the existing motion data is another primary concern and using such modified… read more here.
Keywords: system; motion data; motion; motion editing ... See more keywords
Muscle Activation and Inertial Motion Data for Noninvasive Classification of Activities of Daily Living
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2017.2738440
Abstract: Objective: Remote monitoring of physical activity using body-worn sensors provides an objective alternative to current functional assessment tools. The purpose of this study was to assess the feasibility of classifying categories of activities of daily… read more here.
Keywords: activities daily; muscle activation; motion data; daily living ... See more keywords
Movement Symmetry Assessment by Bilateral Motion Data Fusion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2829749
Abstract: Objective: A new approach, named bilateral motion data fusion, was proposed for the analysis of movement symmetry, which takes advantage of cross-information between both sides of the body and processes the unilateral motion data at… read more here.
Keywords: motion data; data fusion; bilateral motion; movement ... See more keywords
A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3016413
Abstract: Vessels today are being fully monitored, thanks to the advance of sensor technology. The availability of data brings ship intelligence into great attention. As part of ship intelligence, the desire of using advanced data-driven methods… read more here.
Keywords: detect isolate; thruster; thruster failure; motion data ... See more keywords
Recognizing Emotional States With Wearables While Playing a Serious Game
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3059467
Abstract: In this study, we propose the use of electroencephalography (EEG), electrooculography (EOG), and kinematic motion data captured through wearable sensors to classify emotional states, while individuals are playing a serious computer game (Whack-a-Mole). Twenty-one participants… read more here.
Keywords: playing serious; kinematic motion; emotional states; motion data ... See more keywords