Nuno Pombo

According to our database1, Nuno Pombo authored at least 46 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments.
Proceedings of the Enhanced Living Environments, 2019

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer.
PeerJ PrePrints, 2019

Implementing Mobile Games into Care Services - Service Models for Finnish and Chinese Elderly Care.
Information, 2019

An Efficient Machine Learning-based Elderly Fall Detection Algorithm.
CoRR, 2019

Towards an accurate sleep apnea detection based on ECG signal: The quintessential of a wise feature selection.
Appl. Soft Comput., 2019

Keyed User Datagram Protocol: Concepts and Operation of an Almost Reliable Connectionless Transport Protocol.
IEEE Access, 2019

Human Behavior Prediction Though Noninvasive and Privacy-Preserving Internet of Things (IoT) Assisted Monitoring.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Towards Machine Learning Enabled Security Framework for IoT-based Healthcare.
Proceedings of the 13th International Conference on Sensing Technology, 2019

Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living?
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Smartphone-based automatic measurement of the results of the Timed-Up and Go test.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

A review of frameworks on continuous data acquisition for e-Health and m-Health.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

How to Get a Badge? Unlock Your Mind : Motivation through Student Empowerment.
Proceedings of the IEEE Global Engineering Education Conference, 2019

2018
Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review.
Sensors, 2018

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices.
Sensors, 2018

Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices.
Pervasive Mob. Comput., 2018

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer.
J. Ambient Intell. Smart Environ., 2018

Importance of Personalized Health-Care Models: A Case Study in Activity Recognition.
Proceedings of the pHealth 2018 - Proceedings of the 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health,, 2018

Conceptual Definition of a Platform for the Monitoring of the Subjects with Nephrolithiasis Based on the Energy Expenditure and the Activities of Daily Living Performed.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Towards a Fully Automated Bracelet for Health Emergency Solution.
Proceedings of the 3rd International Conference on Internet of Things, 2018

Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Measurement of the Reaction Time in the 30-S Chair Stand Test using the Accelerometer Sensor Available in off-the-Shelf Mobile Devices.
Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People.
Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Scaffolding students on connecting STEM and interaction design: Case study in Tallinn University Summer School.
Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach.
Proceedings of the 7th International Conference on Data Science, 2018

2017
Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living.
CoRR, 2017

User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living.
CoRR, 2017

A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data.
CoRR, 2017

Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer.
CoRR, 2017

Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review.
Comput. Methods Programs Biomed., 2017

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering.
IEEE Access, 2017

Limitations of Energy Expenditure Calculation Based on a Mobile Phone Accelerometer.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Simulation in Medical School Education.
Proceedings of the Harnessing the Power of Technology to Improve Lives, 2017

2016
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices.
Sensors, 2016

Validation Techniques for Sensor Data in Mobile Health Applications.
J. Sensors, 2016

ubiSleep: An ubiquitous sensor system for sleep monitoring.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

Metabolic.Care: A Novel Solution Based on a Thermography for Detection of Diabetic Foot.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

Electrocardiography, electromyography, and accelerometry signals collected with BITalino while swimming: Device assembly and preliminary results.
Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Sleep apnea detection using a feed-forward neural network on ECG signal.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Smartphones as Multipurpose Intelligent Objects for AAL: Two Case Studies.
Proceedings of the Smart Objects and Technologies for Social Good, 2016

Elderly mobility analysis during Timed Up and Go test using biosignals.
Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2016

A data fusion model to evaluate computerized pain diaries on anxiety and depression assessment.
Proceedings of the 2016 IEEE International Black Sea Conference on Communications and Networking, 2016

2014
Applied computer technologies in clinical decision support systems for pain management: A systematic review.
J. Intell. Fuzzy Syst., 2014

Knowledge discovery in clinical decision support systems for pain management: A systematic review.
Artif. Intell. Medicine, 2014

Big data reduction using RBFNN: A predictive model for ECG waveform for eHealth platform integration.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014


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