Deep learning for time series classification and extrinsic regression: A current survey
Time Series Classification and Extrinsic Regression are important and challenging machine
learning tasks. Deep learning has revolutionized natural language processing and computer …
learning tasks. Deep learning has revolutionized natural language processing and computer …
Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
and designed to perform human specific tasks. Currently, humanoid robots are not capable …
Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition
SY Boulahia, A Amamra, MR Madi, S Daikh - Machine Vision and …, 2021 - Springer
Multimodal action recognition techniques combine several image modalities (RGB, Depth,
Skeleton, and InfraRed) for a more robust recognition. According to the fusion level in the …
Skeleton, and InfraRed) for a more robust recognition. According to the fusion level in the …
A survey of online activity recognition using mobile phones
Physical activity recognition using embedded sensors has enabled many context-aware
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …
Leveraging machine learning and big data for smart buildings: A comprehensive survey
B Qolomany, A Al-Fuqaha, A Gupta… - IEEE …, 2019 - ieeexplore.ieee.org
Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …
residents. Changes will occur to the way people live as technology involves people's lives …
Activity recognition with smartphone sensors
The ubiquity of smartphones together with their ever-growing computing, networking, and
sensing powers have been changing the landscape of people's daily life. Among others …
sensing powers have been changing the landscape of people's daily life. Among others …
Smartwatch-based activity recognition: A machine learning approach
GM Weiss, JL Timko, CM Gallagher… - 2016 IEEE-EMBS …, 2016 - ieeexplore.ieee.org
Smartwatches and smartphones contain accelerometers and gyroscopes that sense a user's
movements, and can help identify the activity a user is performing. Research into …
movements, and can help identify the activity a user is performing. Research into …
On the use of ensemble of classifiers for accelerometer-based activity recognition
C Catal, S Tufekci, E Pirmit, G Kocabag - Applied Soft Computing, 2015 - Elsevier
Activity recognition aims to detect the physical activities such as walking, sitting, and jogging
performed by humans. With the widespread adoption and usage of mobile devices in daily …
performed by humans. With the widespread adoption and usage of mobile devices in daily …
Smartphone-based solutions for fall detection and prevention: challenges and open issues
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall
detection and prevention. Falls are considered as major health hazards for both the elderly …
detection and prevention. Falls are considered as major health hazards for both the elderly …