Human activity recognition using smartphone sensors with two-stage continuous hidden Markov models
CA Ronao, SB Cho - 2014 10th international conference on …, 2014 - ieeexplore.ieee.org
Recognizing human activities from temporal streams of sensory data observations is a very
important task on a wide variety of applications in context recognition. Especially for time …
important task on a wide variety of applications in context recognition. Especially for time …
Self-contained indoor positioning on off-the-shelf mobile devices
D Gusenbauer, C Isert, J Krösche - … International Conference on …, 2010 - ieeexplore.ieee.org
We introduce a novel self-contained seamless positioning solution for indoor and outdoor
environments, well suited for and designed to be operated on off-the-shelf mobile phones …
environments, well suited for and designed to be operated on off-the-shelf mobile phones …
Activity recognition using accelerometer sensor and machine learning classifiers
Activity recognition is considered as an important task in many applications, particularly in
healthcare services. Among these applications include medical diagnostic, monitoring of …
healthcare services. Among these applications include medical diagnostic, monitoring of …
A novel action recognition framework based on deep-learning and genetic algorithms
Recognition of human actions in partially cluttered environments is an important research
field of computer vision and human-computer interaction. This field has recently garnered …
field of computer vision and human-computer interaction. This field has recently garnered …
Significant features for human activity recognition using tri-axial accelerometers
Activity recognition using wearable sensors has become essential for a variety of
applications. Tri-axial accelerometers are the most widely used sensor for activity …
applications. Tri-axial accelerometers are the most widely used sensor for activity …
Interpreting human activity from electrical consumption data using reconfigurable hardware and hidden Markov models
FJ Ferrández-Pastor, H Mora-Mora… - Journal of Ambient …, 2017 - Springer
Human activity recognition is a promising research field in a wide variety of areas: ambient
assisted living, pervasive and mobile computing, surveillance based security and context …
assisted living, pervasive and mobile computing, surveillance based security and context …
Modeling, learning, and simulating human activities of daily living with behavior trees
Y Francillette, B Bouchard, K Bouchard… - … and Information Systems, 2020 - Springer
Autonomy is a key factor in the quality of life of a person. With the aging of the population, an
increasing number of people suffers from a reduced level of autonomy. That compromises …
increasing number of people suffers from a reduced level of autonomy. That compromises …
Feature selection for physical activity recognition using genetic algorithms
Physical activity is widely known to be a key factor towards achieving a healthy life and
reducing the chance of developing certain diseases. However, there are many different …
reducing the chance of developing certain diseases. However, there are many different …
Feature set optimization for physical activity recognition using genetic algorithms
Physical activity is recognized as one of the key factors for a healthy life due to its beneficial
effects. The range of physical activities is very broad, and not all of them require the same …
effects. The range of physical activities is very broad, and not all of them require the same …
Analyzing accelerometer data for epilepsy episode recognition
JR Villar, M Menéndez, J Sedano, E de la Cal… - … Conference on Soft …, 2015 - Springer
Epilepsy is one of the main neurological disorders with high impact in the patient's everyday
life. An incorrect treatment or a lack in monitoring might produce cognitive damage and …
life. An incorrect treatment or a lack in monitoring might produce cognitive damage and …