Daniela De Venuto

About

Daniela De Venuto is a leading researcher in embedded sensor systems and brain-computer interfaces (BCIs), with a focus on assistive technologies for healthcare and smart environments. Her major contributions span the development of non-invasive BCIs that enable tetraplegic and paralyzed users to remotely control mechatronic devices, such as wheelchairs and cars, using P300 brain activity—a breakthrough for safe driving and mobility assistance. She has also pioneered the integration of BCIs with personal care robots like Pepper, enhancing object manipulation through RGB and 3D segmentation data, and designing smart sensor interfaces for ambient assisted living. Her work on shelf-life dynamical control in smart homes addresses the critical issue of domestic food waste, extending her impact beyond healthcare to sustainability. With over 70 citations across her most-cited papers, her research is highly influential, particularly her 2017 paper on P300-based remote driving (34 citations). De Venuto’s innovative algorithms, such as local binary patterning for movement-related potentials, and her semi-autonomous robot interfaces driven by EEG digitization, underscore her commitment to practical, user-friendly solutions. Her achievements include advancing embedded sensor systems for real-world applications, making her a key figure in assistive robotics and smart home technology.

Research Focus

Key Achievements

Top Papers

1. 1
   An embedded system remotely driving mechanical devices by P300 brain activity

   34 citations · 2017
2. 2
   Preventing Food Waste by the Shelf-Life Dynamical Control in Smart Homes

   10 citations · 2022
3. 3
   RGB and 3D-Segmentation Data Combination for the Autonomous Object Manipulation in Personal Care Robotics

   8 citations · 2021
4. 4
   Smart Sensors HW/SW Interface based on Brain-actuated Personal Care Robot for Ambient Assisted Living

   7 citations · 2020
5. 5
   Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface

   5 citations · 2019
6. 6
   Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving

   3 citations · 2017
7. 7
   Semi-Autonomous Personal Care Robots Interface driven by EEG Signals Digitization

   2 citations · 2020
8. 8
   Foreword Embedded Sensor Systems

   2 citations · 2018
9. 9
   An Embeddable Object Manipulation Framework for Assistive Robotics

   1 citations · 2023

Key Collaborators

Contact & Links