Generative model‐enhanced human motion prediction-Reference-Cited by-同舟云学术

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Generative model‐enhanced human motion prediction

Published:2022-03-23 Issue:2 Volume:3 Page:
ISSN:2689-5595
Container-title:Applied AI Letters
language:en
Short-container-title:Applied AI Letters

Author:

Bourached Anthony¹^ORCID,Griffiths Ryan‐Rhys²^ORCID,Gray Robert¹,Jha Ashwani¹,Nachev Parashkev¹

Affiliation:

1. Department of Neurology University College London London UK

2. Department of Physics University of Cambridge Cambridge UK

Funder

University College London Hospitals Biomedical Research Centre

UK Research and Innovation

Biomedical Research Centre

Wellcome Trust

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ail2.63

Reference61 articles.

1. Automated video-based detection of nocturnal convulsive seizures in a residential care setting

2. Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)

3. Towards Pervasive Physical Rehabilitation Using Microsoft Kinect

4. Systematic review of Kinect applications in elderly care and stroke rehabilitation

5. Teaching Robots to Predict Human Motion

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1. Assessing and monitoring air quality in cities and urban areas with a portable, modular and low-cost sensor station: calibration challenges;International Journal of Remote Sensing;2024-07-30

2. Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity;Brain Communications;2023-12-28

3. Artificial intelligence (AI) for neurologists: do digital neurones dream of electric sheep?;Practical Neurology;2023-11-17

4. A multilayer human motion prediction perceptron by aggregating repetitive motion;Machine Vision and Applications;2023-09-13

5. Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction;Applied Intelligence;2023-08-31

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