A Wearable Hybrid IEEE 802.15.4-2011 Ultra-Wideband/Inertial Sensor Platform for Ambulatory Tracking. - Michael J. Walsh 001; Salvatore Tedesco; Tingcong Ye; Brendan O'Flynn (BODYNETS, 2014)

A Review of Physical Activity Monitoring and Activity Trackers for Older Adults. - John Barton; Brendan O'Flynn; Salvatore Tedesco (AAATE Conf., 2017)

Spectral and time-frequency domains features for quantitative lower-limb rehabilitation monitoring via wearable inertial sensors. - Salvatore Tedesco; Andrea Urru; Brendan O'Flynn (BioCAS, 2017)

Human activity recognition for emergency first responders via body-worn inertial sensors. - Sebastian Scheurer; Salvatore Tedesco; Kenneth N. Brown; Brendan O'Flynn (BSN, 2017)

Point tracking with lensless smart sensors. - Lizy Abraham; Andrea Urru; Mariusz P. Wilk; Salvatore Tedesco; Michael J. Walsh 001; Brendan O'Flynn (IEEE SENSORS, 2017)

Sensor and feature selection for an emergency first responders activity recognition system. - Sebastian Scheurer; Salvatore Tedesco; Kenneth N. Brown; Brendan O'Flynn (IEEE SENSORS, 2017)

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. - Salvatore Tedesco; John Barton; Brendan O'Flynn (Sensors, 2017)

A machine learning approach for gesture recognition with a lensless smart sensor system. - Niccolo Norman; Andrea Urru; Lizy Abraham; Michael J. Walsh 001; Salvatore Tedesco; Angelo Cenedese; Gian Antonio Susto; Brendan O'Flynn (BSN, 2018)

A 3D Hand Motion Capture Device with Haptic Feedback for Virtual Reality Applications. - Javier Torres Sanchez; Salvatore Tedesco; Brendan O'Flynn (GEM, 2018)

Wearable Human Computer Interface for Control Within Immersive VAMR Gaming Environments Using Data Glove and Hand Gestures. - Mariusz P. Wilk; Javier Torres Sanchez; Salvatore Tedesco; Brendan O'Flynn (GEM, 2018)

Real-Time 3D Magnetometer Calibration for Embedded Systems Based on Ellipsoid Fitting. - Salvatore Tedesco; Javier Torres Sanchez; Brendan O'Flynn (ICST, 2018)

A Comprehensive Comparison of Commercial Wrist- Worn Trackers in a Young Cohort in a Lab- Environment. - Salvatore Tedesco; Marco Sica; Thomas Garbay; John Barton; Brendan O'Flynn (PerCom Workshops, 2018)

Monitoring Emergency First Responders' Activities via Gradient Boosting and Inertial Sensor Data. - Sebastian Scheurer; Salvatore Tedesco; Oscar Manzano; Kenneth N. Brown; Brendan O'Flynn (ECML/PKDD (3), 2018)

Indirect Measurement of Ground Reaction Forces and Moments by Means of Wearable Inertial Sensors: A Systematic Review. - Andrea Ancillao; Salvatore Tedesco; John Barton; Brendan O'Flynn (Sensors, 2018)

A Multi-Sensors Wearable System for Remote Assessment of Physiotherapy Exercises during ACL Rehabilitation. - Salvatore Tedesco; Marco Belcastro; Oscar Manzano Torre; Pasqualino Torchia; Davide Alfieri; Liudmila Khokhlova; Brendan O'Flynn (ICECS, 2019)

Subject-dependent and -independent human activity recognition with person-specific and -independent models. - Sebastian Scheurer; Salvatore Tedesco; Kenneth N. Brown; Brendan O'Flynn (iWOAR, 2019)

Predicting Three-Dimensional Ground Reaction Forces in Running by Using Artificial Neural Networks and Lower Body Kinematics. - Dimitrios-Sokratis Komaris; Eduardo Pérez-Valero; Luke Jordan; John Barton; Liam Hennessy; Brendan O'Flynn; Salvatore Tedesco (IEEE Access, 2019)

Wearable motion sensors and artificial neural network for the estimation of vertical ground reaction forces in running. - Salvatore Tedesco; Eduardo Pérez-Valero; Dimitrios-Sokratis Komaris; Luke Jordan; John Barton; Liam Hennessy; Brendan O'Flynn (IEEE SENSORS, 2020)

Motion Capture Technology in Industrial Applications: A Systematic Review. - Matteo Menolotto; Dimitrios-Sokratis Komaris; Salvatore Tedesco; Brendan O'Flynn; Michael J. Walsh 001 (Sensors, 2020)

Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition. - Sebastian Scheurer; Salvatore Tedesco; Kenneth N. Brown; Brendan O'Flynn (Sensors, 2020)

Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition Performance. - Sebastian Scheurer; Salvatore Tedesco; Brendan O'Flynn; Kenneth N. Brown (Sensors, 2020)

Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players. - Salvatore Tedesco; Colum Crowe; Andrew Ryan; Marco Sica; Sebastian Scheurer; Amanda M. Clifford; Kenneth N. Brown; Brendan O'Flynn (Sensors, 2020)

Motion Artifact Resistant Mounting of Acoustic Emission Sensors for Knee Joint Monitoring. - Liudmila Khokhlova; Dimitrios-Sokratis Komaris; Salvatore Tedesco; Brendan O'Flynn (EMBC, 2021)

Investigation of the analysis of wearable data for cancer-specific mortality prediction in older adults. - Salvatore Tedesco; Martina Andrulli; Markus Åkerlund Larsson; Daniel Kelly; Suzanne Timmons; Antti Alamäki; John Barton; Joan Condell; Brendan O'Flynn; Anna Nordström (EMBC, 2021)

Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings. - Daniel Kelly; Karla Muñoz Esquivel; James Gillespie; Joan Condell; Richard J. Davies; Shvan Karim; Elina Nevala; Antti Alamäki; Juha Jalovaara; John Barton; Salvatore Tedesco; Anna Nordström (Sensors, 2021)

Design of a Multi-Sensors Wearable Platform for Remote Monitoring of Knee Rehabilitation. - Salvatore Tedesco; Oscar Manzano Torre; Marco Belcastro; Pasqualino Torchia; Davide Alfieri; Liudmila Khokhlova; Dimitrios-Sokratis Komaris; Brendan O'Flynn (IEEE Access, 2022)

Knowledge-driven feature engineering to detect multiple symptoms using ambulatory blood pressure monitoring data. - Zaffar Haider Janjua; David Kerins; Brendan O'Flynn; Salvatore Tedesco (Comput. Methods Programs Biomed., 2022)

Improved screening of fall risk using free-living based accelerometer data. - Daniel Kelly; Joan Condell; James Gillespie; Karla Muñoz Esquivel; John Barton; Salvatore Tedesco; Anna Nordström; Markus Åkerlund Larsson; Antti Alamäki (J. Biomed. Informatics, 2022)

Test-Retest Reliability of Acoustic Emission Sensing of the Knee during Physical Tasks. - Liudmila Khokhlova; Dimitrios-Sokratis Komaris; Salvatore Tedesco; Brendan O'Flynn (Sensors, 2022)

Acoustic emissions and age-related changes of the knee. - Liudmila Khokhlova; Dimitrios-Sokratis Komaris; Brendan O'Flynn; Salvatore Tedesco (EMBC, 2023)

Development of a PPG-based hardware and software system deployable on elbow and thumb for real-time estimation of pulse transit time. - Andrea Valerio; Adhurim Hajzeraj; Omid Varnosfaderani Talebi; Marco Belcastro; Salvatore Tedesco; Danilo Demarchi; Brendan O'Flynn (EMBC, 2023)

Evaluation of a U-Shaped Convolutional Neural Network for RCS based Chipless RFID Systems. - Nadeem Rather; Roy B. V. B. Simorangkir; John L. Buckley; Brendan O'Flynn; Salvatore Tedesco (RFID-TA, 2023)

A Novel Robot Based Data Acquisition Methodology for Chipless RFID Systems. - Nadeem Rather; Roy B. V. B. Simorangkir; Cian O'Donnell; Dinesh R. Gawade; John L. Buckley; Brendan O'Flynn; Salvatore Tedesco (RFID-TA, 2023)

Cuff-Less Blood Pressure Monitoring in a Cohort of People with Parkinson's Disease. - Colum Crowe; Marco Sica; Lorna Kenny; Brendan O'Flynn; David Scott Mueller; Suzanne Timmons; John Barton; Salvatore Tedesco (SAS, 2023)

Non-Invasive Assessment of Cartilage Damage of the Human Knee Using Acoustic Emission Monitoring: A Pilot Cadaver Study. - Liudmila Khokhlova; Dimitrios-Sokratis Komaris; Nikolaos Davarinos; Karuppiah Mahalingam; Brendan O'Flynn; Salvatore Tedesco (IEEE Trans. Biomed. Eng., 2023)

Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors. - Suraj Prasannan Nair; Marco Sica; Salvatore Tedesco; Andrea Visentin (AICS, 2024)

Y-Net: Insect Counting and Segmentation using Deep Learning on Embedded Devices. - Amin Kargar; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (I2MTC, 2024)

Development of a Personalized Anomaly Detection Model to Detect Motion Artifacts Over PPG Data Using Catch22 Features. - Andrea Valerio; Danilo Demarchi; Brendan O'Flynn; Salvatore Tedesco (IEEE SENSORS, 2024)

Design of a Multi-Sensors Wearable System for Continuous Home Monitoring of People With Parkinson's. - Marco Sica; Omid Varnosfaderani Talebi; Colum Crowe; Lorna Kenny; Andrea Bocchino; Brendan O'Flynn; David Scott Mueller; Salvatore Tedesco; Suzanne Timmons; John Barton (IEEE Access, 2024)

EEG Datasets for Healthcare: A Scoping Review. - Caroline Peres da Silva; Salvatore Tedesco; Brendan O'Flynn (IEEE Access, 2024)

Detecting Halyomorpha halys using a low-power edge-based monitoring system. - Amin Kargar; Dimitrios Zorbas; Salvatore Tedesco; Michael T. Gaffney; Brendan O'Flynn (Comput. Electron. Agric., 2024)

Deep-Learning-Assisted Robust Detection Techniques for a Chipless RFID Sensor Tag. - Nadeem Rather; Roy B. V. B. Simorangkir; John L. Buckley; Brendan O'Flynn; Salvatore Tedesco (IEEE Trans. Instrum. Meas., 2024)

Development of a Personalized Multiclass Classification Model to Detect Blood Pressure Variations Associated with Physical or Cognitive Workload. - Andrea Valerio; Danilo Demarchi; Brendan O'Flynn; Paolo Motto Ros; Salvatore Tedesco (Sensors, 2024)

Concept Drift Mitigation on Resource-Constrained IoT Devices via Self-Learning. - Amin Kargar; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (SAS, 2025)

Estimating Perceived Fatigue Using Machine Learning and Biomechanical Features from Wearable Sensors. - Malik Muhammad Qirtas; Merve Nur Yasar; Marco Sica; Salvatore Tedesco; Andrea Visentin (SMARTCOMP, 2025)

Corrections to "EEG Datasets for Healthcare: A Scoping Review". - Caroline Peres da Silva; Salvatore Tedesco; Brendan O'Flynn (IEEE Access, 2025)

Tiny deep learning model for insect segmentation and counting on resource-constrained devices. - Amin Kargar; Dimitrios Zorbas; Michael T. Gaffney; Brendan O'Flynn; Salvatore Tedesco (Comput. Electron. Agric., 2025)