Results 71 to 80 of about 1,184,745 (287)

Toward lightweight hand tracking systems

, 2019
The usage of human demonstrations facilitates teaching of objects manipulation to robots. The article suggests a new non invasive approach to gather manipulation demonstrations and proposes a platform to study and develop the needed technologies.
Carfì, Alessandro, Mastrogiovanni, Fulvio   +1 more
openaire   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham, Sahana Sathyanarayana, Charlotte B. Stewart, Robyn Iredale, Victoria Foster, Debra Galley, Mark Baker, Nicola Pavese   +7 more
wiley   +1 more source

Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review

Frontiers in Surgery
ObjectiveThis systematic literature review of the integration of artificial intelligence (AI) applications in surgical practice through hand and instrument tracking provides an overview of recent advancements and analyzes current literature on the ...
Kivanc Yangi, Thomas J. On, Yuan Xu, Arianna S. Gholami, Jinpyo Hong, Alexander G. Reed, Pravarakhya Puppalla, Jiuxu Chen, Jiuxu Chen, Jonathan A. Tangsrivimol, Baoxin Li, Marco Santello, Michael T. Lawton, Mark C. Preul   +13 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Intuitive space texture generation using hand tracking, speech recognition, and generative AI [PDF]

SHS Web of Conferences
This research aims to explore new methods of intuitively redesigning room interiors using gesture, speech, and generative AI. This approach represents a new approach to interior design, allowing users to easily customize appearance of a room through ...
Watanabe Yudai, Cohen Michael
doaj   +1 more source

Large Margin Object Tracking with Circulant Feature Maps

, 2017
Structured output support vector machine (SVM) based tracking algorithms have shown favorable performance recently. Nonetheless, the time-consuming candidate sampling and complex optimization limit their real-time applications.
Huang, Zeyi, Liu, Yong, Wang, Mengmeng
core   +1 more source

Neuropsychiatric Symptoms Mimicking Dementia in a Patient Treated With Imatinib

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Tyrosine kinase inhibitors are the cornerstone of chronic myeloid leukemia treatment. Newer agents have more potency and a broader spectrum of action, but also a higher potential for neuropsychiatric side effects. We present a case of a patient on imatinib who developed progressive cognitive, mood, and behavioral alterations.
Ashley Jones, Samuele Bonomi, Keith E. Stockerl‐Goldstein, Randall J. Bateman   +3 more
wiley   +1 more source

UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers

, 2019
This paper proposes a novel approach for Simultaneous Localization and Mapping by fusing natural and artificial landmarks. Most of the SLAM approaches use natural landmarks (such as keypoints).
Medina-Carnicer, Rafael, Munoz-Salinas, Rafael   +1 more
core   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source