Results 61 to 70 of about 7,481,837 (104)
Plan, activity, and intent recognition : theory and pratice /
, 2014 Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language ...
Sukthankar, Gita.
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iWOAR 2017, 4th International Workshop on Sensor-based Activity Recognition and Interaction
, 2022 Ubiquitous systems are becoming an integral part of our everyday lives. Functionality and user experience often depends on accurate, sensor-based activity recognition and interaction. Systems aiming to provide the user with assistance or to monitor their
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Improving IoT Predictions through the Identification of Graphical Features
Sensors, 2019 IoT sensor networks have an inherent graph structure that can be used to extract graphical features for improving performance in a variety of prediction tasks.
Syeda Akter, Lawrence Holder
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Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets
Sensors, 2018 Working with multimodal datasets is a challenging task as it requires annotations which often are time consuming and difficult to acquire. This includes in particular video recordings which often need to be watched as a whole before they can be labeled ...
Alexander Diete +2 more
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Fusing Object Information and Inertial Data for Activity Recognition
Sensors, 2019 In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction sensors ...
Alexander Diete, Heiner Stuckenschmidt
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Sensor-Based Activity Recognition and Artificial Intelligence
This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024.
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Sensors, 2018 With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments.
Eliasz Kańtoch
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Towards Human Activity Recognition: A Hierarchical Feature Selection Framework
Sensors, 2018 The inherent complexity of human physical activities makes it difficult to accurately recognize activities with wearable sensors. To this end, this paper proposes a hierarchical activity recognition framework and two different feature selection methods ...
Aiguo Wang +5 more
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Activity recognition using Grey-Markov model [PDF]
, 2011 Activity Recognition (AR) is a process of identifying actions and goals of one or more agents of interest. AR techniques have been applied to both large and small scale activity identification.
NC DOCKS at Western Carolina University +1 more
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, 2022 Art. 15, 7 S.This paper describes an approach towards situation-based annotation management on the basis of work integrated activity recognition and situation detection.
Urban, Bodo +2 more
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