poster

Student Projects with Real-time Sensor Data

Authors:

Stan Kurkovsky,

Melissa MulcahyAuthors Info & Claims

ITiCSE '15: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education

Page 344

https://doi.org/10.1145/2729094.2754846

Published: 22 June 2015 Publication History

Get Access

Abstract

Applications of mobile computing in education go far beyond being a motivating and engaging tool, introducing fundamental programming concepts, or teaching basic mobile application development. Mobile devices also provide an excellent platform for a broad class of advanced student projects leveraging the real-time data streamed from embedded hardware sensors.

References

[1]

Bouten, C., Koekkoek, K., Verduin, M., Kodde, R., and Janssen, J., A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity, IEEE Trans. Biomed. Engr., 44(3), 136--147, Mar. 1997.

Crossref

Google Scholar

[2]

Chen, H. and Damevski, K., A teaching model for development of sensor-driven mobile applications. 2014 Conference on Innovation & technology in computer science education. 147--152, June 2014.

Digital Library

Google Scholar

[3]

Srinivasan, S., Han, J., Lal, and D. Gacic, A., Towards automatic detection of falls using wireless sensors, Engr. in Medicine and Biology, 2007, 1379--138

Crossref

Google Scholar

Index Terms

Student Projects with Real-time Sensor Data
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

Recommendations

Optimization-Based Distributed Algorithms for Mobile Data Gathering in Wireless Sensor Networks

Recent advances have shown a great potential of mobile data gathering in wireless sensor networks, where one or more mobile collectors are employed to collect data from sensors via short-range communications. Among a variety of data gathering approaches,...
Design considerations for the WISDM smart phone-based sensor mining architecture
SensorKDD '11: Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data

Smart phones comprise a large and rapidly growing market. These devices provide unprecedented opportunities for sensor mining since they include a large variety of sensors, including an: acceleration sensor (accelerometer), location sensor (GPS), ...
A comparison of alternative client/server architectures for ubiquitous mobile sensor-based applications
UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Mobile devices such as smart phones, tablet computers, and music players are ubiquitous. These devices typically contain many sensors, such as vision sensors (cameras), audio sensors (microphones), acceleration sensors (accelerometers) and location ...

Comments

Information & Contributors

Information

Published In

ITiCSE '15: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education

June 2015

370 pages

ISBN:9781450334402

DOI:10.1145/2729094

Conference Chair:
Valentina Dagienė
Vilnius University, Lithuania
,
Program Chairs:
Carsten Schulte
Berlin Freie University, Germany
,
Tatjana Jevsikova
Vilnius University, Lithuania

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2015

Check for updates

Author Tags

Qualifiers

Poster

Conference

ITICSE '15

Sponsor:

Bilkent University
SIGCSE

ITICSE '15: Innovation and Technology in Computer Science Education Conference 2015

July 4 - 8, 2015

Vilnius, Lithuania

Acceptance Rates

ITiCSE '15 Paper Acceptance Rate 54 of 124 submissions, 44%;

Overall Acceptance Rate 552 of 1,613 submissions, 34%

Upcoming Conference

ITiCSE '25

Sponsor:
sigcse

Innovation and Technology in Computer Science Education

June 27 - July 2, 2025

Nijmegen , Netherlands

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
79
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 27 Feb 2025

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Index Terms

Recommendations

Optimization-Based Distributed Algorithms for Mobile Data Gathering in Wireless Sensor Networks

Design considerations for the WISDM smart phone-based sensor mining architecture

A comparison of alternative client/server architectures for ubiquitous mobile sensor-based applications

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations