ACTIVE

A novel, dynamic, adaptive approach for Automatic human aCtIVity rEcongition
Project ID
Start Date:
30/04/2020
Duration:
36 months
Total Budget:
189,262 EUR
ITI Budget:
189,262 EUR
Scientific Responsible:

The proposed work focuses on the major research field of automatic Human Activity Recognition (HAR); a field that constitutes the fundamentals of Ambient Intelligence (AmI) and Assisted Living Applications (AAL). In domestic AAL-oriented applications, HAR is typically performed through the processing of data derived from sensing modalities which build upon: (a) wearable sensors, (b) static IoT sensors and © dynamic sensors, such as sensors of mobile robot units. The proposed project will advance the State-of-Art in the field of multimodal HAR, by (a) investigating a novel, adaptive and context-dependent fusion method for data derived from wearables and static IoT sensors of a smart home and (b) introducing a novel approach for fusing wearables and static IoT sensors with a mobile-robot based dynamic sensing modality within the smart home. More specifically, our research will start by investigating a new hierarchical, multi-level approach for dynamic fusion of multiple sensing modalities, specifically based on wearables and static IoT sensors of the smart home environment. On top of this, we will develop a novel goal-oriented, ensemble coordination framework, capable to steer the efforts of the integrated system so as to enhance both (a) the effectiveness of activity recognition and (b) the level of detail and robustness in behavior understanding. The proposed methods for human activity recognition and behavior understanding through the fusion of (a) wearables and IoT data and (b) wearables, IoT and mobile robot vision, will be systematically evaluated in the course of the project. By the end of the project, we will establish a proof-of-concept integrated wearables/IoT/robot system, capable to operate with our proposed methods in a real smart home. This will be used for the final validation of the proposed approach, which will take place in the CERTH-ITI smart home, utilizing also the RAMCIP robot.

Consortium

Centre for Research and Technology Hellas

Contact

Dr. Konstantinos Votis
(Scientific Responsible)
Building A - Office 2.8

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257722
Fax: +30 2310 474128
Email: kvotis@iti.gr

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