The Human activity recognition (HAR) collects events to distinguish as the sequence of annotations to recognise the actions of subjects to determine the ecological situation. Humans have the ability to recognize an event from a single movement. It is the natural tendency of human beings gives more...
As expected, no single activity recognition procedure was found to work in all settings, which underlines the importance of designing methods and algorithms that address specific research questions in health while keeping the specifics of the study cohort in mind (e.g., age distribution, the exten...
There has been much reported in the recent literature about methods for training recognition systems using large training data sets (e.g., [26]). This approach is beneficial in the case where not much is known about the class of object one wishes to detect. Nairac and Tarassenko are propon...
Zhang HB, Zhang YX, Zhong B, Lei Q, Yang L, Du JX, Chen DS (2019) A comprehensive survey of vision-based human action recognition methods. Sensors (Switzerland) 19:1–20 Google Scholar Suthar B, Gadhia B (2021) Human activity recognition using deep learning: a survey. In: Data scie...
interaction (HCI) [65], virtual reality [164], security [171], video surveillance and home monitoring [14,138,145,156,157,158,159,160,161,163,223]. Therefore, the wide range of the activity recognition methods is directly linked to the application domain to which they are implemented [...
A. A review of human activity recognition methods. Front. Robot. AI 2, 28 (2015). Article Google Scholar Jaeger, H. Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304, 78–80 (2004). Article Google Scholar Maass, W., Natschläger...
Several human action recognition methods have been proposed in the last few decades. Detailed surveys can be found in Refs. [1], [2], [3], [4], where different methodologies of human action recognition, human movement, etc., are discussed. Based on these reviews, researchers either use ...
haoranD/Awesome-Human-Activity-Recognition Star264 An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data. ...
S Singh, S.V., & Ragheb, H. (2010). Muhavi: A multicamera human action video dataset for the evaluation of action recognition methods. In: 2nd Workshop on Activity monitoring by multi-camera surveillance systems (AMMCSS), pp. 48–55. ...
activity recognition using conventional features learning methods. Furthermore, these reviews have become outdated and require urgent research to analyse the high volume of papers published in the area lately. In deep learning methods, reviews byAngermueller, Parnamaa, Parts, and Stegle (2016),Be...