Luca Palmerini

According to our database, Luca Palmerini authored at least 23 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-World Balance Assessment While Standing for Fall Prediction in Older Adults.

Jose Albites-Sanabria, Pierpaolo Palumbo, Jorunn L. Helbostad, Stefania Bandinelli, Sabato Mellone, Luca Palmerini, Lorenzo Chiari

IEEE Trans. Biomed. Eng., March, 2024

Design of a High Bandwidth Actuation for Seamless Assistance in Walking and Running.

Vinzenz Gerhard, Luka Miskovic, Alex Nanni, Enrica Tricomi, Francesco Missiroli, Luca Palmerini, Lorenzo Chiari, Lorenzo Masia

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

Towards Safer Mobility: Developing and Evaluating a Fall Detection System for a Smart Walker.

Maria Sole Cavaglià, Sergio D. Sierra Marín, Luca Palmerini, Silvia Orlandi, Marcela Múnera, Carlos A. Cifuentes

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023

Fall Risk Assessment Using Wearable-Based Turn Detection: Comparison of Different Algorithms During Real-World Monitoring.

Jose Albites-Sanabria, Pierpaolo Palumbo, Stefania Bandinelli, Luca Palmerini, Lorenzo Chiari

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life.

Serena Moscato, Luca Palmerini, Pierpaolo Palumbo, Lorenzo Chiari

Frontiers Digit. Health, 2022

2021

Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.

Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, Luca Palmerini

Sensors, 2021

Machine Learning Based Fall Detector With a Sensorized Tip.

Asier Brull Mesanza, Ilaria D'Ascanio, Asier Zubizarreta, Luca Palmerini, Lorenzo Chiari, Itziar Cabanes

IEEE Access, 2021

2020

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.

Luca Palmerini, Jochen Klenk, Clemens Becker, Lorenzo Chiari

Sensors, 2020

A rule-based framework for risk assessment in the health domain.

Luca Cattelani, Federico Chesani, Luca Palmerini, Pierpaolo Palumbo, Lorenzo Chiari, Stefania Bandinelli

Int. J. Approx. Reason., 2020

2019

Physical Activity Classification for Elderly People in Free-Living Conditions.

Muhammad Awais, Lorenzo Chiari, Espen Alexander Fürst Ihlen, Jorunn L. Helbostad, Luca Palmerini

IEEE J. Biomed. Health Informatics, 2019

2016

Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.

Muhammad Awais, Luca Palmerini, Alan K. Bourke, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari

Sensors, 2016

Physical activity classification using body-worn inertial sensors in a multi-sensor setup.

Muhammad Awais, Luca Palmerini, Lorenzo Chiari

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

2015

A Wavelet-Based Approach to Fall Detection.

Luca Palmerini, Fabio Bagalà, Andrea Zanetti, Jochen Klenk, Clemens Becker, Angelo Cappello

Sensors, 2015

2014

Automatic Identification of Motor Patterns Leading to Freezing of Gait in Parkinson's Disease - An Exploratory Study.

Luca Palmerini, Laura Rocchi, Jeffrey M. Hausdorff, Lorenzo Chiari

Proceedings of the ICPRAM 2014, 2014

FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly.

Luca Cattelani, Federico Chesani, Pierpaolo Palumbo, Luca Palmerini, Stefania Bandinelli, Clemens Becker, Lorenzo Chiari

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013

Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions.

Luca Palmerini, Sabato Mellone, Guido Avanzolini, Franco Valzania, Lorenzo Chiari

Proceedings of the Artificial Intelligence in Medicine, 2013

LPAD-based Fall Risk Assessment.

Luca Cattelani, Pierpaolo Palumbo, Federico Chesani, Luca Palmerini, Lorenzo Chiari

Proceedings of the Workshop Popularize Artificial Intelligence co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012

Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease.

Luca Palmerini

PhD thesis, 2012

2011

Feature Selection for Accelerometer-Based Posture Analysis in Parkinson's Disease.

Luca Palmerini, Laura Rocchi, Sabato Mellone, Franco Valzania, Lorenzo Chiari

IEEE Trans. Inf. Technol. Biomed., 2011

Hilbert-Huang-Based Tremor Removal to Assess Postural Properties From Accelerometers.

Sabato Mellone, Luca Palmerini, Angelo Cappello, Lorenzo Chiari

IEEE Trans. Biomed. Eng., 2011

Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test.

Luca Palmerini, Sabato Mellone, Laura Rocchi, Lorenzo Chiari

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function.

Luca Palmerini, Laura Rocchi, Sabato Mellone, Franco Valzania, Lorenzo Chiari

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2010

Feature Selection for the Instrumented Timed Up and Go in Parkinson's Disease.

Luca Palmerini, Laura Rocchi, Sabato Mellone, Lorenzo Chiari, Franco Valzania

Proceedings of the KDIR 2010, 2010