Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Ojala, Timo"'
Autor:
Yershova, Anna, Uotila, Elmeri, Mimnaugh, Katherine J., Prencipe, Nicoletta, Manivannan, M., Ojala, Timo, LaValle, Steven M.
This paper introduces a novel interaction method for virtual and augmented reality called look-and-twist, which is directly analogous to point-and-click operations using a mouse and desktop. It is based on head rotation alone and is straightforward t
Externí odkaz:
http://arxiv.org/abs/2410.09820
Autor:
LaValle, Steven M., Center, Evan G., Ojala, Timo, Pouke, Matti, Prencipe, Nicoletta, Sakcak, Basak, Suomalainen, Markku, Timperi, Kalle G., Weinstein, Vadim K.
Publikováno v:
Annu. Rev. Control Robot. Auton. Syst. v. 7, 2023
This paper makes the case that a powerful new discipline, which we term perception engineering, is steadily emerging. It follows from a progression of ideas that involve creating illusions, from historical paintings and film, to video games and virtu
Externí odkaz:
http://arxiv.org/abs/2403.18588
Publikováno v:
Algorithms, Vol. 17, No. 1, pp. 8, 2024
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive dat
Externí odkaz:
http://arxiv.org/abs/2311.06118
Knee Osteoarthritis (KOA), a leading cause of disability worldwide, is challenging to detect early due to subtle radiographic indicators. Diverse, extensive datasets are needed but are challenging to compile because of privacy, data collection limita
Externí odkaz:
http://arxiv.org/abs/2311.05798
Knee-Joint Osteoarthritis (KOA) is a prevalent cause of global disability and is inherently complex to diagnose due to its subtle radiographic markers and individualized progression. One promising classification avenue involves applying deep learning
Externí odkaz:
http://arxiv.org/abs/2311.05799
Autor:
Prezja, Fabi, Annala, Leevi, Kiiskinen, Sampsa, Lahtinen, Suvi, Ojala, Timo, Ruusuvuori, Pekka, Kuopio, Teijo
Publikováno v:
Heliyon, Vol. 10, No. 18, pp. e37561, 2024
In routine colorectal cancer management, histologic samples stained with hematoxylin and eosin are commonly used. Nonetheless, their potential for defining objective biomarkers for patient stratification and treatment selection is still being explore
Externí odkaz:
http://arxiv.org/abs/2310.16954
Autor:
Mimnaugh, Katherine J., Center, Evan G., Suomalainen, Markku, Becerra, Israel, Lozano, Eliezer, Murrieta-Cid, Rafael, Ojala, Timo, LaValle, Steven M., Federmeier, Kara D.
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 11, pp. 4394-4404, Nov. 2023
In this paper, we show that Virtual Reality (VR) sickness is associated with a reduction in attention, which was detected with the P3b Event-Related Potential (ERP) component from electroencephalography (EEG) measurements collected in a dual-task par
Externí odkaz:
http://arxiv.org/abs/2306.13505
Autor:
Halkola, Joona, Suomalainen, Markku, Sakcak, Basak, Mimnaugh, Katherine J., Kalliokoski, Juho, Chambers, Alexis P., Ojala, Timo, LaValle, Steven M.
In this paper, we present an implementation of a leaning-based control of a differential drive telepresence robot and a user study in simulation, with the goal of bringing the same functionality to a real telepresence robot. The participants used a b
Externí odkaz:
http://arxiv.org/abs/2208.10613
Autor:
Pouke, Matti, Center, Evan G., Chambers, Alexis P., Pouke, Sakaria, Ojala, Timo, LaValle, Steven M.
Publikováno v:
Frontiers in Virtual Reality, 3, 2022
In this study we investigated the effect of body ownership illusion-based body scaling on physics plausibility in Virtual Reality (VR). Our interest was in examining whether body ownership illusion-based body scaling could affect the plausibility of
Externí odkaz:
http://arxiv.org/abs/2206.15218
Autor:
Kalliokoski, Juho, Sakcak, Basak, Suomalainen, Markku, Mimnaugh, Katherine J., Chambers, Alexis P., Ojala, Timo, LaValle, Steven M.
This paper considers the problem of enabling the user to modify the path of a telepresence robot. The robot is capable of autonomously navigating to a goal predefined by the user, but the user might still want to modify the path, for example, to go f
Externí odkaz:
http://arxiv.org/abs/2203.02703