demonstration

AFit: adaptive fitness tracking by application function virtualization

Authors:

Harini Kolamunna,

Yining Hu,

Diego Perino,

Kanchana Thilakarathna,

Dwight Makaroff,

Xinlong Guan,

Aruna SeneviratneAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 309 - 312

https://doi.org/10.1145/2968219.2971364

Published: 12 September 2016 Publication History

Get Access

Abstract

The popularity of wearables is exponentially growing and it is expected that individuals will utilize more than one wearable device at a time in the near future. Efficient resource usage between the devices worn by the same person has not yet been effectively addressed by the current wearable applications. In this paper, we demonstrate the feasibility of application function virtualization by utilizing common capabilities of multiple wearables on the body through a cross-platform Android application - AFit. AFit is developed in a way that it can opportunistically leverage the resources of smartphone, smartwatch and smartglass depending on the context of the user, which is user activity. In this demonstration, AFit shows that it is possible to adaptively select the device to track the user movement for fitness tracking, rather than using randomly selected device or all devices, utilizing the common sensor of accelerometer on all devices.

References

[1]

A. Beach, M. Gartrell, X. Xing, R. Han, Q. Lv, S. Mishra, and K. Seada. 2010. Fusing Mobile, Sensor, and Social Data to Fully Enable Context-aware Computing. In Proc. HotMobile. ACM, New York, NY, 60--65.

Digital Library

Google Scholar

[2]

S. Kang, J. Lee, H. Jang, H. Lee, Y. Lee, S. Park, T. Park, and J. Song. 2008. SeeMon: Scalable and Energy-efficient Context Monitoring Framework for Sensor-rich Mobile Environments. In Proc. MobiSys. ACM, New York, NY, 267--280.

Digital Library

Google Scholar

[3]

H. Kolamunna, Y. Hu, D. Perino, K. Thilakarathna, D. Makaroff, X. Guan, and A. Seneviratne. 2016. AFV: Enabling Application Function Virtualization and Scheduling in Wearable Networks. In Proc. UbiComp. ACM, New York, NY, to appear.

Digital Library

Google Scholar

Cited By

View all

Habibzadeh HDinesh KRajabi Shishvan OBoggio-Dandry ASharma GSoyata T(2020)A Survey of Healthcare Internet of Things (HIoT): A Clinical PerspectiveIEEE Internet of Things Journal10.1109/JIOT.2019.29463597:1(53-71)Online publication date: Jan-2020
https://doi.org/10.1109/JIOT.2019.2946359

Index Terms

AFit: adaptive fitness tracking by application function virtualization
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

Recommendations

AFV: enabling application function virtualization and scheduling in wearable networks
UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Smart wearable devices are widely available today and changing the way mobile applications are being developed. Applications can dynamically leverage the capabilities of wearable devices worn by the user for optimal resource usage and information ...
Research on Wearable Smart Products for Elderly Users Based on Kano Model
Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance
Abstract
In 2021, the key indicators of the seventh national census released by the National Bureau of Statistics of China showed the deepening population aging. Nowadays, the Chinese government vigorously promotes a series of elderly care measures at home ...
Integrating population-based patterns with personal routine to re-engage fitbit use
PervasiveHealth '16: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare

In this paper, we explore user reactions to prototypes that integrate population fitness data with personal practice to bolster motivation and help decrease pragmatic barriers to incorporating exercise in daily life. We conducted a study in a major ...

Comments

Information & Contributors

Information

Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

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: 12 September 2016

Check for updates

Author Tags

Qualifiers

Demonstration

Conference

UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
162
Total Downloads

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

Reflects downloads up to 08 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Habibzadeh HDinesh KRajabi Shishvan OBoggio-Dandry ASharma GSoyata T(2020)A Survey of Healthcare Internet of Things (HIoT): A Clinical PerspectiveIEEE Internet of Things Journal10.1109/JIOT.2019.29463597:1(53-71)Online publication date: Jan-2020
https://doi.org/10.1109/JIOT.2019.2946359

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

Cited By

Index Terms

Recommendations

AFV: enabling application function virtualization and scheduling in wearable networks

Research on Wearable Smart Products for Elderly Users Based on Kano Model

Integrating population-based patterns with personal routine to re-engage fitbit use

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

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations