Titlebook: Evaluating AAL Systems Through Competitive Benchmarking; International Compet Juan A. Botía,Juan Antonio álvarez-García,Till Rie Conference

VEST

相信

Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing Network (WSN), using Recurrent Neural Networks implemented as efficient Echo State Networks (ESNs), within the Reservoir Computing paradigm. Our results show that, with an appropriate configuration of the ESN, the system reaches a good accuracy with a low deployment cost.

可憎

Enhancements to the LOCOSmotion Person Tracking Systemide from optimization of the calibration tools and underlying localization algorithms, the refinements also encompass the use of feedback provided by the domestic robotics (domotics) in the Living Lab to improve the overall system performance.

ARENA

壟斷

Indoor Localization Based on Resonant Oscillating Magnetic Fields for AAL Applicationse floor-plan alone (no location specific training or measurements needed), present the software tools that can be used for system setup and application and evaluate floor plan based setup looking specifically into the influence of multiple people and changes in furniture configuration.

indices

尊重

An Improved Saliency for RGB-D Visual Tracking and Control Strategies for a Bio-monitoring Mobile Roobile robot based tracking, measuring, and activity recognition of human subjects, we would be able to help impaired people (MIPs) to spend more time focusing in their motor function rehabilitation process from their homes..In this study we aimed at improving two important modules in these kinds of