research
∙
10/07/2022
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface
Brain-machine interfaces (BMIs) are promising for motor rehabilitation a...
share
research
∙
03/28/2022
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications
Tactile sensing is a crucial perception mode for robots and human ampute...
research
∙
07/23/2021
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications
The sophisticated sense of touch of the human hand significantly contrib...
research
∙
06/15/2021
Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices
We present the implementation of seizure detection algorithms based on a...
research
∙
03/25/2021
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Personalized ubiquitous healthcare solutions require energy-efficient we...
research
∙
05/31/2020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
In recent years, deep learning (DL) has contributed significantly to the...
research
∙
04/24/2020
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain–Machine Interfaces
Motor-Imagery Brain-Machine Interfaces (MI-BMIs) promise direct and acce...
research
∙
03/31/2020
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
This paper presents an accurate and robust embedded motor-imagery brain-...
research
∙
12/10/2019
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data
Synthetic aperture radar (SAR) data is becoming increasingly available t...
research
∙
11/08/2019