The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the Ada Boost model had the advantage of less calculation time
Human Activity Recognition otherwise called as HAR is a challenging research field that promotes qua...
Smartphones are widely used today, and it becomes possible to detect the user\u27s environmental cha...
It is a significant technical and computational task to provide precise information regarding the ac...
Abstract. This paper describes a competitive approach developed for an activity recognition challeng...
The aim of activity recognition is to determine the physical action being performed by one or more u...
Human activity recognition (HAR) using smartphones provides significant healthcare guidance for tele...
Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most ...
Human activity recognition is an emerging field of ubiquitous and pervasive computing. Although rece...
Rapid advancement in computing technology brings computers and humans to be seamlessly integrated in...
Human Activity Recognition has a long history of research and requires further exploration to produc...
AbstractThe data gathered by acceleration sensors in smartphones gives different results depending o...
Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynami...
Human activity recognition is increasingly used for medical, surveillance and entertainment applicat...
AbstractAutomatic activity recognition systems aim to capture the state of the user and its environm...
Wearable human activity recognition (HAR) is a widely application system for our daily life. It hasb...
Human Activity Recognition otherwise called as HAR is a challenging research field that promotes qua...
Smartphones are widely used today, and it becomes possible to detect the user\u27s environmental cha...
It is a significant technical and computational task to provide precise information regarding the ac...
Abstract. This paper describes a competitive approach developed for an activity recognition challeng...
The aim of activity recognition is to determine the physical action being performed by one or more u...
Human activity recognition (HAR) using smartphones provides significant healthcare guidance for tele...
Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most ...
Human activity recognition is an emerging field of ubiquitous and pervasive computing. Although rece...
Rapid advancement in computing technology brings computers and humans to be seamlessly integrated in...
Human Activity Recognition has a long history of research and requires further exploration to produc...
AbstractThe data gathered by acceleration sensors in smartphones gives different results depending o...
Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynami...
Human activity recognition is increasingly used for medical, surveillance and entertainment applicat...
AbstractAutomatic activity recognition systems aim to capture the state of the user and its environm...
Wearable human activity recognition (HAR) is a widely application system for our daily life. It hasb...
Human Activity Recognition otherwise called as HAR is a challenging research field that promotes qua...
Smartphones are widely used today, and it becomes possible to detect the user\u27s environmental cha...
It is a significant technical and computational task to provide precise information regarding the ac...