Treffer: Fitness Center Capacity Monitoring
Title:
Fitness Center Capacity Monitoring
Authors:
Contributors:
University of Scranton. Department of Computing Sciences
Publisher Information:
University of Scranton
Publication Year:
2013
Collection:
The University of Scranton Digital Collections
Subject Terms:
Time:
2010-2019
Document Type:
Fachzeitschrift
text
File Description:
application/pdf
Language:
English
Relation:
Master of Science in Software Engineering; University of Scranton Archives; University of Scranton Masters and Honors Theses; University of Scranton Masters Theses; TM_Mancuso_R_2013; http://digitalservices.scranton.edu/u?/p15111coll1,925
Availability:
Rights:
http://rightsstatements.org/vocab/InC/1.0/ ; The author of this work retains the copyright. The author has granted to The University of Scranton a non-exclusive license to preserve and make the thesis available in the Library's digital collections, with access restricted to on-campus users. The author's signed Electronic Thesis Approval Form is on file in the Weinberg Memorial Library Digital Services Department.
Accession Number:
edsbas.8E897F1A
Database:
BASE
Weitere Informationen
This project aims to solve a problem of students not being able to tell how full the fitness center is without physically going to the facility. Sensor data will be used to determine if a person passes through the doorway and in which direction they are moving to keep a count of the number of people in the fitness center at a given moment in time. Prediction algorithms may be run on that data to determine the number of people expected to be in the fitness center a chosen time in the future.