Search Results for author: Luigi G. Occhipinti

Found 7 papers, 0 papers with code

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals

no code implementations25 Nov 2024 Silas Ruhrberg Estévez, Josée Mallah, Dominika Kazieczko, Chenyu Tang, Luigi G. Occhipinti

Ankle exoskeletons have garnered considerable interest for their potential to enhance mobility and reduce fall risks, particularly among the aging population.

motion prediction Transfer Learning

A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life

no code implementations1 Aug 2024 Chenyu Tang, Wentian Yi, Muzi Xu, Yuxuan Jin, Zibo Zhang, Xuhang Chen, Caizhi Liao, Peter Smielewski, Luigi G. Occhipinti

In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +3

SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images

no code implementations20 Apr 2024 Jiaqi Wang, Mengtian Kang, Yong liu, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Shuo Gao, Luigi G. Occhipinti

Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evaluation results.

Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency

no code implementations27 Nov 2023 Chenyu Tang, Muzi Xu, Wentian Yi, Zibo Zhang, Edoardo Occhipinti, Chaoqun Dong, Dafydd Ravenscroft, Sung-Min Jung, Sanghyo Lee, Shuo Gao, Jong Min Kim, Luigi G. Occhipinti

Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use.

Efficient Neural Network

Human Body Digital Twin: A Master Plan

no code implementations18 Jul 2023 Chenyu Tang, Wentian Yi, Edoardo Occhipinti, Yanning Dai, Shuo Gao, Luigi G. Occhipinti

A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purpose of simulating, predicting, and optimizing health outcomes through advanced analytics and simulations.

Decision Making

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