Although human activity recognition (HAR) has been studied extensively in the past decade,
HAR on smartphones is a relatively new area. Smartphones are equipped with a variety of …

Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Purpose Currently, ubiquitous smartphones embedded with various sensors provide a
convenient way to collect raw sequence data. These data bridges the gap between human …

Human activity recognition is increasingly used for medical, surveillance and entertainment
applications. For better monitoring, these applications require identification of detailed …

Human activity recognition (HAR) techniques are playing a significant role in monitoring the
daily activities of human life such as elderly care, investigation activities, healthcare, sports …

Traditional methods of Human Activity Recognition (HAR) do not take into consideration
physical attributes of human subjects such as height, weight, gender etc. Thus, a particular …

Recently, the demand for human activity recognition has become more and more urgent. It is
widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity …

Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

Human activity recognition (HAR) has gained lots of attention in recent years due to its high
demand in different domains. In this paper, a novel HAR system based on a cascade …