Publications by authors named "Gemma Taverni"
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and to respond accordingly. The ability to discriminate between human gestures can help in several applications, such as assisted living, healthcare, neuro-rehabilitation, and sports.
View Article and Find Full Text PDFA Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications.
IEEE Trans Biomed Circuits Syst
February 2018
Applications requiring detection of small visual contrast require high sensitivity. Event cameras can provide higher dynamic range (DR) and reduce data rate and latency, but most existing event cameras have limited sensitivity. This paper presents the results of a 180-nm Towerjazz CIS process vision sensor called SDAVIS192.
View Article and Find Full Text PDFRealisation and characterization of conductive hollow fibers for neuronal tissue engineering.
J Biomed Mater Res B Appl Biomater
July 2015
Article Synopsis
- Researchers developed conductive hollow fibers using melt spinning, incorporating multiwalled carbon nanotubes (MWNTs) and poly(3-hexylthiophene-2,5-diyl) (P3HT) into poly-caprolactone (PCL) composites.
- The fibers have diameters between 300 µm and 500 µm, with a mathematical model established to control their dimensions, while adding MWNTs and P3HT enhanced the mechanical properties of the PCL.
- Additional assessments showed that at least 3 wt % MWNTs and 8 wt % P3HT made the composites conductive, and tests with SH-SY5Y human neuroblastoma cells indicated enhanced cell adhesion and neurite growth