[HTML][HTML] Information retrieval meets large language models: a strategic report from chinese ir community

Q Ai, T Bai, Z Cao, Y Chang, J Chen, Z Chen, Z Cheng… - AI Open, 2023 - Elsevier
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …

Piezoelectric nanogenerators for self-powered wearable and implantable bioelectronic devices

KK Das, B Basu, P Maiti, AK Dubey - Acta Biomaterialia, 2023 - Elsevier
One of the recent innovations in the field of personalized healthcare is the piezoelectric
nanogenerators (PENGs) for various clinical applications, including self-powered sensors …

Ultrasound-based Human Machine Interfaces for Hand Gesture Recognition: A Sco** Review and Future Direction

K He - IEEE Transactions on Medical Robotics and Bionics, 2024 - ieeexplore.ieee.org
Since ultrasound signal is firstly used to build a human machine interface (HMI) for
prosthetic control in 2006, ultrasound-based HMIs have received the great attention in the …

Design of a 3D-printed hand exoskeleton based on force-myography control for assistance and rehabilitation

D Esposito, J Centracchio, E Andreozzi, S Savino… - Machines, 2022 - mdpi.com
Voluntary hand movements are usually impaired after a cerebral stroke, affecting millions of
people per year worldwide. Recently, the use of hand exoskeletons for assistance and motor …

Multimodal Finger Pulse Wave Sensing: Comparison of Forcecardiography and Photoplethysmography Sensors

E Andreozzi, R Sabbadini, J Centracchio, P Bifulco… - Sensors, 2022 - mdpi.com
Pulse waves (PWs) are mechanical waves that propagate from the ventricles through the
whole vascular system as brisk enlargements of the blood vessels' lumens, caused by …

Ear electrocardiography with soft graphene textiles for hearable applications

S Guler, A Golparvar, O Ozturk… - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Ear-centered physiological recordings offer rich amount of information originated by neural
and cardiac activities. This letter investigates possible applications of graphene-based …

[HTML][HTML] Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing

B Chen, Y Zhou, C Chen, Z Sayeed, J Hu, J Qi, T Frush… - Array, 2023 - Elsevier
Processing multiple channels of bioelectrical signals for bionic assistive robot volitional
motion control is still a challenging task due to the interference of systematic noise, artifacts …

A multipurpose human–machine interface via 3D-printed pressure-based force myography

H Zhou, C Tawk, G Alici - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Artificially intelligent (AI), powerful, and reliable human–machine interfaces (HMIs) are
highly desired for wearable technologies, which proved to be the next advancement when it …

Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions

J Centracchio, D Esposito, GD Gargiulo, E Andreozzi - Sensors, 2022 - mdpi.com
The cardiac function is influenced by respiration. In particular, various parameters such as
cardiac time intervals and the stroke volume are modulated by respiratory activity. It has long …

A smart approach to EMG envelope extraction and powerful denoising for human–machine interfaces

D Esposito, J Centracchio, P Bifulco, E Andreozzi - Scientific Reports, 2023 - nature.com
Electromyography (EMG) is widely used in human–machine interfaces (HMIs) to measure
muscle contraction by computing the EMG envelope. However, EMG is largely affected by …