Recognizing human activities in their daily living enables the development and widely
usage of human-centric applications, such as health monitoring, assisted living, etc …

Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

A major bottleneck in training robust Human-Activity Recognition models (HAR) is the need
for large-scale labeled sensor datasets. Because labeling large amounts of sensor data is …

Activity monitoring in home environments has become increasingly important and has the
potential to support a broad array of applications including elder care, well-being …

Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a
promising solution for many applications. However, device-free (or contactless) sensing is …

The bus arrival time is primary information to most city transport travelers. Excessively long
waiting time at bus stops often discourages the travelers and makes them reluctant to take …

Understanding people's actions and interactions typically depends on seeing them.
Automating the process of action recognition from visual data has been the topic of much …

The popularity of low-power wireless sensors increased significantly in the last decade,
triggering a golden era for wireless sensor network research and development. During the …

Ambient-assisted living (AAL) is promising to become a supplement of the current care
models, providing enhanced living experience to people within context-aware homes and …

Defines the notion of an activity model learned from sensor data and presents key
algorithms that form the core of the field Activity Learning: Discovering, Recognizing and …