Results 51 to 60 of about 15,703 (300)

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Vision-based hand gesture recognition from RGB video data using SVM [PDF]

, 2019
With the growing number of population in the world nowadays, novel human-computer interaction systems and techniques can be used to help improve their quality of life. A gesture based technology can help to maintain the safety and needs of the disable as
Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Al Farid, Fahmid, Abdullah, Junaidi, Hashim, Noramiza   +5 more
core   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Hand gesture recognition using RGB-D cues [PDF]

, 2012
In this paper, we propose a hand gesture recognition method in the clutter background by fusing the RGB-D cues. Since the hand localization is the key issue, we propose a coarse-to-fine procedure to detect hand accurately, which combines the statistic ...
Lin L(蔺蘭), Tang YD(唐延东), Cong Y(丛杨)   +2 more
core   +2 more sources

HGM-4: A new multi-cameras dataset for hand gesture recognition

Data in Brief, 2020
Gesture recognition technology is rapidly growing in the recent years due to the demands of many application such as computer game and sport, human robot interaction, assistant systems, sign language interpretation and e-commerce.
Vinh Truong Hoang
doaj   +1 more source

Contextualized Hand Gesture Recognition with Smartphones [PDF]

, 2014
Most of the previous works in hand gesture recognition focus in increasing the accuracy and robustness of the systems, however little has been done to understand the context in which the gestures are performed, i.e, the same gesture could mean different things depending on the context and situation. Understanding the context may help to build more user-
Enrique Garcia-Ceja, Ramón F. Brena, Carlos Eric Galván-Tejada   +2 more
openaire   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Hand posture recognition using SURF with adaptive boosting [PDF]

, 2012
An approach making use of SURF feature and Adaboost for hand posture recognition is proposed. First the SURF key points are extracted to describe the blob or ridge-like structures from grey level images. These are potential points of interest that can be
Yao, Yi, Li, Chang-Tsun
core  

Hand Gesture Recognition with Leap Motion

CoRR, 2017
The recent introduction of depth cameras like Leap Motion Controller allows researchers to exploit the depth information to recognize hand gesture more robustly. This paper proposes a novel hand gesture recognition system with Leap Motion Controller. A series of features are extracted from Leap Motion tracking data, we feed these features along with ...
Youchen Du, Shenglan Liu 0001, Lin Feng 0001, Menghui Chen, Jie Wu   +4 more
openaire   +2 more sources