Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Radar, as one of the sensors for human activity recognition (HAR), has unique
characteristics such as privacy protection and contactless sensing. Radar-based HAR has …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Accurate human activity recognition (HAR) is the key to enable emerging context-aware
applications that require an understanding and identification of human behavior, eg …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …

Federated learning is proposed as an alternative to centralized machine learning since its
client-server structure provides better privacy protection and scalability in real-world …

Blockchain records track information about financial payments, movements of products
through supply chains, identity verification information, and many other assets. Analytics on …

The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …

Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer,
gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to …

As an important enabler for changing people's lives, advances in artificial intelligence (AI)-
based applications and services are on the rise, despite being hindered by efficiency and …