A review on radio based activity recognition
نویسندگان
چکیده
منابع مشابه
A Review on Radio Based Activity Recognition
Recognizing human activities in their daily living enables the development and widely usage of human-centric applications, such as health monitoring, assisted living, etc. Traditional activity recognition methods often rely on physical sensors (camera, accelerometer, gyroscope, etc.) to continuously collect sensor readings, and utilize pattern recognition algorithms to identify user's activitie...
متن کاملA Review on Video-Based Human Activity Recognition
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human ob...
متن کاملA Review on Human Activity Recognition Using Vision-Based Method
Human activity recognition (HAR) aims to recognize activities from a series of observations on the actions of subjects and the environmental conditions. The vision-based HAR research is the basis of many applications including video surveillance, health care, and human-computer interaction (HCI). This review highlights the advances of state-of-the-art activity recognition approaches, especially...
متن کاملChallenges for device-free radio-based activity recognition
In this paper we provide an introduction to the relatively new field of device-free radio-based activity recognition (DFAR). While the research in device-free radio-based localization (DFL) has progressed in recent years, only few works exist which distinguish activities using this approach. Thus, we give an overview over the most important works investigating device-free localization and activ...
متن کاملHuman Activity Recognition Using Tag-Based Radio Frequency Localization
This article provides a comparative study on the different techniques of classifying human activities using tag-based radio-frequency (RF) localization. A publicly available dataset is used where the position data of multiple RF tags worn on different parts of the human body are acquired asynchronously and nonuniformly. In this study, curves fitted to the data are resampled uniformly and then s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Digital Communications and Networks
سال: 2015
ISSN: 2352-8648
DOI: 10.1016/j.dcan.2015.02.006