Alberto Calatroni

发表

Benchmarking classification techniques using the Opportunity human activity dataset

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2012 .

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, Pattern Recognit. Lett..

S-SMART

Gerhard Tröster, Daniel Roggen, Alberto Calatroni, 2016, ACM Trans. Intell. Syst. Technol..

Collecting complex activity datasets in highly rich networked sensor environments

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

A Framework for Opportunistic Activity and Context Recognition

Paul Lukowicz, Ricardo Chavarriaga, Alois Ferscha, 2010 .

RENDERING OF AN ACOUSTIC BEAM THROUGH AN ARRAY OF LOUDSPEAKERS

Augusto Sarti, Stefano Tubaro, Fabio Antonacci, 2009 .

Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning

Ignacio Rojas, Miguel Damas, Daniel Roggen, 2021, Neural Processing Letters.

Fusing On-Body Sensing with Local and Temporal Cues for Daily Activity Recognition

Oliver Brdiczka, Gerhard Tröster, Ulf Blanke, 2014, BODYNETS.

Low-Power Ambient Sensing in Smartphones for Continuous Semantic Localization

Sinziana Mazilu, Gerhard Tröster, Ulf Blanke, 2013, AmI.

Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition

P. Lukowicz, D. Roggen, Alberto Calatroni, 2021, Frontiers in Computer Science.

Review on Deep Neural Networks Applied to Low-Frequency NILM

Andreas Rumsch, Andrew Paice, Patrick Huber, 2021, Energies.

Incremental kNN Classifier Exploiting Correct-Error Teacher for Activity Recognition

Gerhard Tröster, Daniel Roggen, Alberto Calatroni, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Recording a Complex, Multi Modal Activity Data Set for Context Recognition

Paul Lukowicz, Ricardo Chavarriaga, Alois Ferscha, 2011, ARCS Workshops.

Monitoring Patients in Ambulatory Palliative Care: A Design for an Observational Study

Gerhard Tröster, Matthias Guckenberger, Alberto Calatroni, 2016, MobiHealth.

Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease

Sinziana Mazilu, Eran Gazit, Jeffrey M. Hausdorff, 2013, MLDM.

The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson's disease

Sinziana Mazilu, Eran Gazit, Jeffrey M. Hausdorff, 2016, Pervasive Mob. Comput..

The adARC pattern analysis architecture for adaptive human activity recognition systems

Gerhard Tröster, Daniel Roggen, Alberto Calatroni, 2011, Journal of Ambient Intelligence and Humanized Computing.

Prediction of Freezing of Gait in Parkinson's From Physiological Wearables: An Exploratory Study

Sinziana Mazilu, Eran Gazit, Jeffrey M. Hausdorff, 2015, IEEE Journal of Biomedical and Health Informatics.

SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services pdf

Edith Birrer, Andreas Rumsch, Andrew Paice, 2021, ArXiv.

OPPORTUNITY: Towards opportunistic activity and context recognition systems

Paul Lukowicz, Kai Kunze, Ricardo Chavarriaga, 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.

Sensor technology for ice hockey and skating

Gerhard Tröster, Christian Vogt, Alberto Calatroni, 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Supporting One-Time Point Annotations for Gesture Recognition

Gerhard Tröster, Alberto Calatroni, Long-Van Nguyen-Dinh, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards a unified system for multimodal activity spotting: challenges and a proposal

Alberto Calatroni, Gerhard Tröster, Long-Van Nguyen-Dinh, 2014, UbiComp Adjunct.

Enhancing action recognition through simultaneous semantic mapping from body-worn motion sensors

Gerhard Tröster, Daniel Roggen, Alberto Calatroni, 2014, SEMWEB.

Robust activity recognition combining anomaly detection and classifier retraining

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Improving online gesture recognition with template matching methods in accelerometer data

Alberto Calatroni, Daniel Roggen, Gerhard Tröster, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Context Cells: Towards Lifelong Learning in Activity Recognition Systems

Gerhard Tröster, Daniel Roggen, Claudia Villalonga, 2009, EuroSSC.

Robust online gesture recognition with crowdsourced annotations

Alberto Calatroni, Gerhard Tröster, Long-Van Nguyen-Dinh, 2014, J. Mach. Learn. Res..

Human activity recognition using social media data

Gerhard Tröster, Ulf Blanke, Alberto Calatroni, 2013, MUM.

Analyzing the impact of different action primitives in designing high-level human activity recognition systems

Siobhán Clarke, Schahram Dustdar, Vinny Cahill, 2013, J. Ambient Intell. Smart Environ..