Andere Kunden interessierten sich auch für
![Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations]( "Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations")
Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations329,99 €![FPGA Embedded Systems in Satellite Remote Sensing]( "FPGA Embedded Systems in Satellite Remote Sensing")
FPGA Embedded Systems in Satellite Remote Sensing52,99 €![Remote Sensing and GIS]( "Remote Sensing and GIS")
Remote Sensing and GIS26,99 €![Machine Vision for Human Activity Recognition: Features & Algorithms]( "Machine Vision for Human Activity Recognition: Features & Algorithms")
Machine Vision for Human Activity Recognition: Features & Algorithms44,99 €![Energy-efficient Urban Sensing]( "Energy-efficient Urban Sensing")
Energy-efficient Urban Sensing29,02 €![Remote Sensing and Artificial Intelligence in Inland Waters Monitoring]( "Remote Sensing and Artificial Intelligence in Inland Waters Monitoring")
Remote Sensing and Artificial Intelligence in Inland Waters Monitoring103,99 €![Low Earth Orbit Remote Sensing Satellite]( "Low Earth Orbit Remote Sensing Satellite")
Low Earth Orbit Remote Sensing Satellite32,99 €
Recognizing human activities with sensors next to the body has become more important over the years, aiming to create or improve systems in elder care support, health/fitness monitoring, and assisting those with cognitive disorders. This task of recognizing activities taking place at a certain moment when considering only one individual user is called Activity Recognition. With smartphones, it was possible to overcome the barrier of the person having to use multiple body worn sensors. Having the smartphones a triaxial accelerometer built in it is possible to create applications that are capable of recognizing the activities of the user with great accuracy. This thesis aims to meet this new solution, creating an Android application, for the problem of recognizing the activities performed by the user and treating it as a classification problem. This work should be useful for anyone who studies the human body and should help to improve the user experience with is phone.