Activity Recognition and Classification is one of the most significant issues in the computer
vision field. Identifying and recognizing actions or activities that are performed by a person is …

Wearable sensors and the Internet of Things (IoT) will be two buzzwords that will be heard
commonly in the coming decades. The combination of these two technologies soon will …

Existing wearable systems that use G-sensors to identify daily activities have been widely
applied for medical, sports and military applications, while body temperature as an obvious …

Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …

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 …

In the past few decades, recognizing the activities of an individual is remaining as the most
challenging task in the computer science domain. Human activity recognition (HAR) is the …

A reliable adaptive hybrid classifier (hAHC), which combines a posture-based adaptive
signal segmentation algorithm with a multi-layer perceptron (MLP) classifier, together with a …

In this paper, we propose a cloud-based real-time human activity recognition system. First,
we develop a wearable system that contains an Accelerometer sensor, an analog to digital …

Human sensing based on the low-resolution infrared sensor is widely used in hand gestures
recognition, activity recognition, intrusion detection, etc. However, the information about …

We propose a novel Data Quality with Security (DQS) integrated instrumentation selection
approach that facilitates aggregation of multi-modal data from heterogeneous sources. As …