Pengenalan Aktivitas Manusia Melalui Analisis Data Gerakan Smartphone
Abstract− Today's smartphones are not only a means of communication but now offer many features and deployment of sensors. Smartphones are also designed to track the user's daily activities, learn and then help the user to make better decisions about what the user will take in the future. Applications that utilize the movement of a smartphone to analyze human activity are used by the Moves app, Fitbit Charge, Nike Fuelband, Apple Watch Health app. To perform human motion recognition activities, data is generated and collected from smartphones such as iPhones and Androids, or wearables such as the Apple Watch smartwatch, Nike Fuelband, and Fitbit Charge. Sensors commonly used to collect data include an accelerometer, gyroscope, heart rate monitor, and thermometer. Another method also combines these sensors with a magnetometer and GPS. This study compares previous research to seek opportunities from the resulting benefits such as monitoring city prisoners, community grouping, city density detection and distribution maps whose data can be used by business opportunities.
Keywords: Accelerometer, Human movement recognition activity, Gyroscope, Heart rate monitor, Thermometer.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike International License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Copyright without Restrictions
The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
The submitted papers are assumed to contain no proprietary material unprotected by patent or patent application; responsibility for technical content and for protection of proprietary material rests solely with the author(s) and their organizations and is not the responsibility of the ULTIMATICS or its Editorial Staff. The main (first/corresponding) author is responsible for ensuring that the article has been seen and approved by all the other authors. It is the responsibility of the author to obtain all necessary copyright release permissions for the use of any copyrighted materials in the manuscript prior to the submission.