Human hippocampus represents space and time during retrieval of real-world memories
Memory stretches over a lifetime. In controlled laboratory settings, the hippocampus and
other medial temporal lobe brain structures have been shown to represent space and time …
other medial temporal lobe brain structures have been shown to represent space and time …
[PDF][PDF] Activity, context, and plan recognition with computational causal behaviour models
F Krüger - 2016 - core.ac.uk
As computers are becoming more and more a part of our everyday life, the vision of Mark
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …
[HTML][HTML] Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments
Smart environments and monitoring systems are popular research areas nowadays due to
its potential to enhance the quality of life. Applications such as human behavior analysis and …
its potential to enhance the quality of life. Applications such as human behavior analysis and …
MEMS-based human activity recognition using smartphone
Y Tian, W Chen - 2016 35th Chinese control conference (CCC), 2016 - ieeexplore.ieee.org
Data mining is one hot orientation in today's research field. Human activity recognition is
meaningful in our daily living and is a significant aspect in data mining. Most previously …
meaningful in our daily living and is a significant aspect in data mining. Most previously …
Validation of human activity recognition using a convolutional neural network on accelerometer and gyroscope data
E Hysenllari, J Ottenbacher, D McLennan - German Journal of Exercise …, 2022 - Springer
Background Human activity recognition (HAR) means identifying sequences of data
recorded by specialized wearable sensors into known, well-defined classes of physical …
recorded by specialized wearable sensors into known, well-defined classes of physical …
Creating and exploring semantic annotation for behaviour analysis
Providing ground truth is essential for activity recognition and behaviour analysis as it is
needed for providing training data in methods of supervised learning, for providing context …
needed for providing training data in methods of supervised learning, for providing context …
Characterizing everyday activities from visual lifelogs based on enhancing concept representation
P Wang, L Sun, S Yang, AF Smeaton… - Computer Vision and …, 2016 - Elsevier
The proliferation of wearable visual recording devices such as SenseCam, Google Glass,
etc. is creating opportunities for automatic analysis and usage of digitally-recorded everyday …
etc. is creating opportunities for automatic analysis and usage of digitally-recorded everyday …
Towards augmented human memory: Retrieval-induced forgetting and retrieval practice in an interactive, end-of-day review.
The authors report 6 experiments that examined the contention that an end-of-day review
could lead to augmentation in human memory. In Experiment 1, participants in the study …
could lead to augmentation in human memory. In Experiment 1, participants in the study …
Physical activity recognition by utilising smartphone sensor signals
Human physical motion activity identification has many potential applications in various
fields, such as medical diagnosis, military sensing, sports analysis, and human-computer …
fields, such as medical diagnosis, military sensing, sports analysis, and human-computer …
Providing semantic annotation for the cmu grand challenge dataset
Providing ground truth is essential for activity recognition for three reasons: to apply methods
of supervised learning, to provide context information for knowledge-based methods, and to …
of supervised learning, to provide context information for knowledge-based methods, and to …