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Artificial intelligence based approach for classification of human activities using MEMS sensors data
The integration of Micro Electronic Mechanical Systems (MEMS) sensor technology in
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …
smartphones has greatly improved the capability for Human Activity Recognition (HAR). By …
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
With the rapid growth of the Internet of Things (IoT), smart systems and applications are
equipped with an increasing number of wearable sensors and mobile devices. These …
equipped with an increasing number of wearable sensors and mobile devices. These …
Heart rate monitoring using PPG with smartphone camera
Methods of estimating heart rate without the use of sensor devices provides essential
benefits in both the medical field as well as the other computing applications. Smartphones …
benefits in both the medical field as well as the other computing applications. Smartphones …
Halo: Hardware-aware learning to optimize
There has been an explosive demand for bringing machine learning (ML) powered
intelligence into numerous Internet-of-Things (IoT) devices. However, the effectiveness of …
intelligence into numerous Internet-of-Things (IoT) devices. However, the effectiveness of …
A preliminary study on pattern reconstruction for optimal storage of wearable sensor data
S Mahfuz, F Zulkernine - ar** human life everywhere. Human activity recognition
(HAR) is one of the pioneer research areas of computer vision which is evolving rapidly to …
(HAR) is one of the pioneer research areas of computer vision which is evolving rapidly to …
[PDF][PDF] Efficient Classification Techniques of Human Activities from Smartphone Sensor Data Using Machine Learning Algorithms
Increasing use of accelerometer and protractor sensors in recent years has created a field of
study for the definition of human activities. This issue is tried to be solved by using machine …
study for the definition of human activities. This issue is tried to be solved by using machine …
Inferring Human Activity Using Wearable Sensors
SS Chawathe - 2021 IEEE 12th Annual Ubiquitous Computing …, 2021 - ieeexplore.ieee.org
This paper presents methods that use data from wearable sensors, such as those found in
low-cost commodity hardware, to infer the human activity (such as reading or walking) …
low-cost commodity hardware, to infer the human activity (such as reading or walking) …