Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Despite advances in audio-and motion-based human activity recognition (HAR) systems, a
practical, power-efficient, and privacy-sensitive activity recognition system has remained …

Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …

Modular construction is an attractive building method due to its advantages over traditional
stick-built methods in terms of reduced waste and construction time, more control over …

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 …

Human activity recognition (HAR) aims at recognizing activities by training models on the
large quantity of sensor data. Since it is time-consuming and expensive to acquire abundant …

Millimeter wave radar is a promising sensing modality for enabling pervasive and privacy-
preserving human sensing. However, the lack of large-scale radar datasets limits the …

Automatically recognizing a broad spectrum of human activities is key to realizing many
compelling applications in health, personal assistance, human-computer interaction and …

Activity recognition using video data is widely adopted for elder care, monitoring for safety
and security, and home automation. Unfortunately, using video data as the basis for activity …