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Elisabetta Farella

Elisabetta Farella

D-Index & Metrics

Computer Science

D-Index
34
Citations
4486
World Ranking
12240
National Ranking
423

Overview

Elisabetta Farella is affiliated with Fondazione Bruno Kessler in Italy and has contributed extensively to the field of computer science, with a particular focus on signal processing and related subfields. Their research spans a range of topics including speech and audio processing, music and audio processing, and advanced neural network applications.

Their recent publications highlight engagement with areas such as motor rehabilitation, acoustic event detection, EEG data processing, and low-power AI technologies. Notable papers include:

  • "Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison" (2020, BioMedical Engineering OnLine)
  • "Compact Recurrent Neural Networks for Acoustic Event Detection on Low-Energy Low-Complexity Platforms" (2020, IEEE Journal of Selected Topics in Signal Processing)
  • "NEAR: An artifact removal pipeline for human newborn EEG data" (2022, Developmental Cognitive Neuroscience)
  • "PhiNets: A Scalable Backbone for Low-power AI at the Edge" (2022, ACM Transactions on Embedded Computing Systems)
  • "Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)" (2022, Sensors)

The research fields associated with Farella include:

  • Computer Science

Within this broad area, their subfields of study incorporate:

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Cognitive Neuroscience

Some of the main research topics are:

  • Speech and Audio Processing
  • Music and Audio Processing
  • CCD and CMOS Imaging Sensors
  • Advanced Neural Network Applications
  • EEG and Brain-Computer Interfaces
  • Blind Source Separation Techniques
  • Anomaly Detection Techniques and Applications

Farella's frequent coauthors include:

  • Francesco Paissan
  • Alberto Ancilotto
  • Alessio Brutti
  • Gian Antonio Susto
  • Velu Prabhakar Kumaravel

The scientist has published papers in several venues, often in repositories and journals such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Embedded Computing Systems
  • Sensors
  • Journal of Applied Biomechanics

Best Publications

  • Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection

    Piero Zappi;Clemens Lombriser;Thomas Stiefmeier;Elisabetta Farella

  • Tracking Motion Direction and Distance With Pyroelectric IR Sensors

    Piero Zappi;Elisabetta Farella;Luca Benini

  • A Versatile Embedded Platform for EMG Acquisition and Gesture Recognition

    Simone Benatti;Filippo Casamassima;Bojan Milosevic;Elisabetta Farella

  • Bluetooth indoor localization with multiple neural networks

    Marco Altini;Davide Brunelli;Elisabetta Farella;Luca Benini

  • Force Sensing Resistor and Evaluation of Technology for Wearable Body Pressure Sensing

    Davide Giovanelli;Elisabetta Farella

  • Wireless sensor networks: Enabling technology for ambient intelligence

    L. Benini;E. Farella;C. Guiducci

  • A wearable system for gait training in subjects with Parkinson's disease.

    Filippo Casamassima;Alberto Ferrari;Bojan Milosevic;Pieter Ginis

  • Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness

    P. Zappi;T. Stiefmeier;E. Farella;D. Roggen

  • Interfacing human and computer with wireless body area sensor networks: the WiMoCA solution

    Elisabetta Farella;Augusto Pieracci;Luca Benini;Laura Rocchi

  • Enhancing the spatial resolution of presence detection in a PIR based wireless surveillance network

    P. Zappi;E. Farella;L. Benini

  • Hybrid EMG classifier based on HMM and SVM for hand gesture recognition in prosthetics

    Matteo Rossi;Simone Benatti;Elisabetta Farella;Luca Benini

  • Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison

    Bojan Milosevic;Alberto Leardini;Elisabetta Farella

  • A Wireless Body Area Sensor Network for Posture Detection

    E. Farella;A. Pieracci;L. Benini;A. Acquaviva

  • Power Line Interference Removal for High-Quality Continuous Biosignal Monitoring With Low-Power Wearable Devices

    Marco Tomasini;Simone Benatti;Bojan Milosevic;Elisabetta Farella

  • An integrated multi-modal sensor network for video surveillance

    Andrea Prati;Roberto Vezzani;Luca Benini;Elisabetta Farella

  • Accelerometer-based fall detection using optimized ZigBee data streaming

    Marco Benocci;Carlo Tacconi;Elisabetta Farella;Luca Benini

  • A wireless system for gait and posture analysis based on pressure insoles and Inertial Measurement Units

    Marco Benocci;Laura Rocchi;Elisabetta Farella;Lorenzo Chiari

  • Design and implementation of WiMoCA node for a body area wireless sensor network

    E. Farella;A. Pieracci;A. Acquaviva

  • Bio-feedback system for rehabilitation based on a wireless body area network

    D. Brunelli;E. Farella;L. Rocchi;M. Dozza

  • Gesture signature for ambient intelligence applications: a feasibility study

    Elisabetta Farella;Sile O'Modhrain;Luca Benini;Bruno Riccó

  • A Prosthetic Hand Body Area Controller Based on Efficient Pattern Recognition Control Strategies

    Simone Benatti;Bojan Milosevic;Elisabetta Farella;Emanuele Gruppioni

Frequent Co-Authors

Luca Benini
Luca Benini ETH Zurich
Bruno Ricco
Bruno Ricco University of Bologna
Davide Brunelli
Davide Brunelli University of Trento
Andrea Acquaviva
Andrea Acquaviva University of Bologna
Davide Rossi
Davide Rossi University of Bologna
Fabio Remondino
Fabio Remondino Fondazione Bruno Kessler
Alessandra Costanzo
Alessandra Costanzo University of Bologna
Amy L. Murphy
Amy L. Murphy Fondazione Bruno Kessler
Daniel Roggen
Daniel Roggen University of Sussex
Michele Magno
Michele Magno ETH Zurich

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