Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

Traditional methods of human activity recognition usually require a large amount of strictly
labeled data for training classifiers. However, it is hard for one to keep a fixed activity when …

The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …

This paper presents a comprehensive literature review of current progress in the application
of state-of-the-art indoor positioning systems for telecare and telehealth monitoring. This …

Abstract In recent times, Ambient Assisted Living has emerged as Smart Living. Smart living
is a subset of ambient intelligence, which uses the latest technologies, intellectual …

In recent years, healthcare IoT have been helpful in mitigating pressures of hospital and
medical resources caused by aging population to a large extent. As a safety-critical system …

Activity recognition is a key component of context-aware computing to support people's
physical activity, but conventional approaches often lack in their generalizability and …

One of the key requirements for technological systems that are used to secure independent
housing for seniors in their home environment is monitoring of daily living activities (ADL) …

With the popularity and development of the wearable devices such as smartphones, human
activity recognition (HAR) based on sensors has become as a key research area in human …

Traditional methods of human activity recognition from wearable sensors rely on good
training datasets in which thousands of training sequences should be carefully labeled …