HAPRec: Hybrid Activity and Plan Recognizer
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo, Amado, Rodrigo C. Barros, Duncan Ruiz, Felipe Meneguzzi

TL;DR
This paper presents HAPRec, a hybrid system that combines action and goal recognition techniques to identify human goals in indoor environments, enhancing ambient assisted living applications.
Contribution
It introduces a novel hybrid approach integrating action and goal recognition for improved activity understanding in indoor settings.
Findings
Effective identification of human goals in indoor videos
Improved accuracy over traditional single-method approaches
Potential applications in ambient assisted living environments
Abstract
Computer-based assistants have recently attracted much interest due to its applicability to ambient assisted living. Such assistants have to detect and recognize the high-level activities and goals performed by the assisted human beings. In this work, we demonstrate activity recognition in an indoor environment in order to identify the goal towards which the subject of the video is pursuing. Our hybrid approach combines an action recognition module and a goal recognition algorithm to identify the ultimate goal of the subject in the video.
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Taxonomy
TopicsHuman Pose and Action Recognition · Context-Aware Activity Recognition Systems · Multimodal Machine Learning Applications
