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Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Internet of things as system of systems: A review of methodologies, frameworks, platforms, and tools
The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
Graphene-based wearable piezoresistive physical sensors
In the last two decades, wearable piezoresistive physical sensors have attracted
tremendous attention due to their broad applications in individual health-monitoring, human …
tremendous attention due to their broad applications in individual health-monitoring, human …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
Reviews of wearable healthcare systems: Materials, devices and system integration
Wearable health monitoring systems are considered as the next generation of personal
portable devices for telemedicine practice. These systems are based on monitoring different …
portable devices for telemedicine practice. These systems are based on monitoring different …
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …
many application domains in health-care, fitness, smart cities, and many other compelling …
Privacy and security concerns in IoT-based healthcare systems
Abstract The Internet of Things (IoT) Healthcare system has become one of the most
indispensable parts of human lives, and this has dramatically increased the medical …
indispensable parts of human lives, and this has dramatically increased the medical …
InnoHAR: A deep neural network for complex human activity recognition
Human activity recognition (HAR) based on sensor networks is an important research
direction in the fields of pervasive computing and body area network. Existing researches …
direction in the fields of pervasive computing and body area network. Existing researches …
A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Abstract Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing,
storage, computation, and transmission capabilities. When data is obtained from multiple …
storage, computation, and transmission capabilities. When data is obtained from multiple …
Imaging and fusing time series for wearable sensor-based human activity recognition
To facilitate data-driven and informed decision making, a novel deep neural network
architecture for human activity recognition based on multiple sensor data is proposed in this …
architecture for human activity recognition based on multiple sensor data is proposed in this …