K
Karri Palovuori
Researcher at Tampere University of Technology
Publications - 35
Citations - 545
Karri Palovuori is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Projection screen & Augmented reality. The author has an hindex of 10, co-authored 34 publications receiving 467 citations.
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Proceedings ArticleDOI
Head-mounted display with mid-air tactile feedback
TL;DR: A mid-air tactile feedback system for head-mounted displays that uses the focus of a modulated ultrasonic phased array for unobtrusive mid- air tactile feedback generation and can enhance 3D user interfaces and virtual reality in a new way.
Journal ArticleDOI
Printable, Transparent, and Flexible Touch Panels Working in Sunlight and Moist Environments
Tiina Vuorinen,Mari Zakrzewski,Satu Rajala,Donald Lupo,Jukka Vanhala,Karri Palovuori,Sampo Tuukkanen +6 more
TL;DR: In this paper, a piezoelectric polymer, polyvinylidene difluoride (PVDF), is used as a functional substrate material for transparent and flexible touch panels.
Journal ArticleDOI
Combustion of activated aluminum
TL;DR: In this article, four different methods were used to study the preignition process of activated aluminum, including microscopic imaging, digital imaging, and TGA and DSC, at pressures up to 64 bar in air, nitrogen, and carbon dioxide.
Proceedings ArticleDOI
The interactive FogScreen
Ismo Rakkolainen,Stephen DiVerdi,Alex Olwal,Nicola Candussi,Tobias Hüllerer,Markku Laitinen,Mika Piirto,Karri Palovuori +7 more
TL;DR: The FogScreen is an immaterial projection screen that consists of air and a little humidity, and enables high-quality projected images in thin air, which makes objects and images appear to float in mid-air, and touching or walking through them enhances the impression, as the screen feels just like air.
Journal ArticleDOI
Quadrature Imbalance Compensation With Ellipse-Fitting Methods for Microwave Radar Physiological Sensing
Mari Zakrzewski,Aditya Singh,Ehsan Yavari,Xiaomeng Gao,Olga Boric-Lubecke,Jukka Vanhala,Karri Palovuori +6 more
TL;DR: The Levenberg-Marquardt (LM) algorithm is proposed for the first time to increase the estimation accuracy as compared to the previously suggested algebraic fitting, and has been demonstrated to be more robust to noise, varying arc lengths, and different initial angles.