Publications by Hamidreza Bayati

On-line anomaly detection and resilience in classifier ensembles

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati, Hesam Sagha

Detection of anomalies is a broad field of study, which is applied in different areas such as data monitoring, navigation, and pattern recognition. In this paper we propose two measures to detect anomalous behaviors in an ensemble of classifiers by monitor ...

Elsevier2013

Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati

A common assumption in activity recognition is that the system remains unchanged between its design and its posterior operation. However, many factors affect the data distribution between two different experimental sessions. One of these factors is the pot ...

Springer Verlag2013

Activity Recognition in Opportunistic Sensor Environments

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati, Hesam Sagha

OPPORTUNITY is project under the EU FET-Open funding1 in which we develop mobile systems to recognize human activity in dynamically varying sensor setups. The system autonomously discovers available sensors around the user and self-configures to recognize ...

2011

Evidence Accumulation in asynchronous BCI

José del Rocio Millán Ruiz, Hamidreza Bayati, Serafeim Perdikis, Robert Leeb

The non-invasive Brain-Computer Interface (BCI) developed in our lab targets asynchronous operation of devices by monitoring electroencephalographic (EEG) activity and identifying oscillatory patterns that the user can voluntary modulate through the execut ...

2011

Unsupervised adaptation to on-body sensor displacement in acceleration-based activity recognition

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati

A common assumption in activity recognition is that the system remains unchanged between its design and its posterior operation. However, many factors can affect the data distribution between two different experimental sessions including sensor displacemen ...

Ieee Computer Soc Press, Customer Service Center, Po Box 3014, 10662 Los Vaqueros Circle, Los Alamitos, Ca 90720-1264 Usa2011

Collecting complex activity data sets in highly rich networked sensor environments

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hamidreza Bayati, Hesam Sagha, Marco Creatura

We deployed 72 sensors of 10 modalities in 15 wireless and wired networked sensor systems in the environment, in objects, and on the body to create a sensor-rich environment for the machine recognition of human activities. We acquired data from 12 subjects ...

2010