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 …

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 …

Activity recognition using accelerometer sensor and machine learning classifiers

ASA Sukor, A Zakaria, NA Rahim - 2018 IEEE 14th …, 2018 - ieeexplore.ieee.org
Activity recognition is considered as an important task in many applications, particularly in
healthcare services. Among these applications include medical diagnostic, monitoring of …

A novel action recognition framework based on deep-learning and genetic algorithms

AA Yilmaz, MS Guzel, E Bostanci, I Askerzade - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Significant features for human activity recognition using tri-axial accelerometers

M Bennasar, BA Price, D Gooch, AK Bandara… - Sensors, 2022 - mdpi.com
Activity recognition using wearable sensors has become essential for a variety of
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 …

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 …

Feature selection for physical activity recognition using genetic algorithms

A Baldominos, P Isasi, Y Saez - 2017 IEEE Congress on …, 2017 - ieeexplore.ieee.org
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 …

Feature set optimization for physical activity recognition using genetic algorithms

A Baldominos, Y Saez, P Isasi - … of the Companion Publication of the …, 2015 - dl.acm.org
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 …

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 …