Results 71 to 80 of about 2,923,075 (185)
Activity Recognition based on a Magnitude-Orientation Stream Network
, 2017 The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information.
Caetano, Carlos +3 more
core +1 more source
Active transfer learning for activity recognition. [PDF]
, 2016 We examine activity recognition from accelerometers, which provides at least two major challenges for machine learning. Firstly, the deployment context is likely to differ from the learning context. Secondly, accurate labelling of training data is time-consuming and error-prone. This calls for a combination of active and transfer learning.
Diethe, Tom, Twomey, Niall, Flach, Peter
openaire +1 more source
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
doaj +1 more source
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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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
doaj +1 more source
Emotion Recognition from the perspective of Activity Recognition
CoRRApplications of an efficient emotion recognition system can be found in several domains such as medicine, driver fatigue surveillance, social robotics, and human-computer interaction. Appraising human emotional states, behaviors, and reactions displayed in real-world settings can be accomplished using latent continuous dimensions.
Savinay Nagendra, Prapti Panigrahi
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Location-Based Activity Recognition [PDF]
, 2007 Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person's activities and significant places from traces of GPS data. In contrast to existing techniques, our approach simultaneously detects and classifies the significant locations of a person and takes the ...
openaire +1 more source
A Scalable Hybrid Activity Recognition Approach for Intelligent Environments
IEEE Access, 2018 Human activity recognition is a key technology for ICT-based (infomation and communication technologies) assistive applications. The most successful activity recognition systems for intelligent environments in terms of performance rely on supervised ...
Gorka Azkune, Aitor Almeida
doaj +1 more source