NT-FDS—A noise tolerant fall detection system using deep learning on wearable devices
Given the high prevalence and detrimental effects of unintentional falls in the elderly, fall
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …
A Survey of LoRaWAN-integrated Wearable Sensor Networks for Human Activity Recognition: Applications, Challenges and Possible Solutions
Long-Range Wide Area Networks (LoRaWAN), a prominent technology within Low-Power
Wide Area Networks (LPWANs), have gained traction in remote monitoring due to their long …
Wide Area Networks (LPWANs), have gained traction in remote monitoring due to their long …
IoT sensor-based activity recognition
The accelerometer was invented in 1783. Though the initial purpose of using accelerometer
was to validate the principles of Newtonian physics, with the advancement of the technology …
was to validate the principles of Newtonian physics, with the advancement of the technology …
A method for sensor-based activity recognition in missing data scenario
Sensor-based human activity recognition has various applications in the arena of
healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to …
healthcare, elderly smart-home, sports, etc. There are numerous works in this field—to …
Handling missing sensors in topology-aware iot applications with gated graph neural network
Reliable data collection, transmission, and delivery on Internet of Things (IoT) systems is
crucial in order to provide high-quality intelligent services. However, sensor data delivery …
crucial in order to provide high-quality intelligent services. However, sensor data delivery …
Margin-based deep learning networks for human activity recognition
Human activity recognition (HAR) is a popular and challenging research topic, driven by a
variety of applications. More recently, with significant progress in the development of deep …
variety of applications. More recently, with significant progress in the development of deep …
Harnas: human activity recognition based on automatic neural architecture search using evolutionary algorithms
Human activity recognition (HAR) based on wearable sensors is a promising research
direction. The resources of handheld terminals and wearable devices limit the performance …
direction. The resources of handheld terminals and wearable devices limit the performance …
Deep learning for sensor-based activity recognition: recent trends
MAR Ahad, AD Antar, M Ahmed, MAR Ahad… - IoT Sensor-Based …, 2021 - Springer
The field of human activity recognition (HAR) using different sensor modalities poses
numerous challenges to the researchers working in this domain. Though traditional pattern …
numerous challenges to the researchers working in this domain. Though traditional pattern …
An approach to classify human activities in real-time from smartphone sensor data
According to the scenario of the last few decades, sensor-based human activity recognition
has gained considerable research attention due to its novel applications in health care …
has gained considerable research attention due to its novel applications in health care …
Human activity recognition machine with an anchor-based loss function
More recently, Human Activity Recognition (HAR) based on sensors has become a hot topic
due to its wide application. Researchers significantly reduce the cost of feature extraction …
due to its wide application. Researchers significantly reduce the cost of feature extraction …