8th International Conference on Body Area Networks

September 30–October 2, 2013 Boston, Massachusetts, United States

CALL FOR PAPERS (PDF version)

BodyNets 2013 aims to provide a world-leading and unique opportunity for bringing together researchers and practitioners from diverse disciplines to plan, analyze, design, build, deploy and experiment with/on body area networks (BANs). We are soliciting high-quality original papers in the following topics (but not limited to):

1. Wearable Computing

  • Ambient intelligence
  • Pervasive user interface
  • Context and situation awareness
  • Augmented reality
  • Sensory augmentation
  • Motion detection and activity recognition
  • User modeling and personalization

2. Embedded Devices and Medical Applications

  • High-confidence medical devices
  • Integration of medical devices with healthcare systems
  • Medical device plug-and-play
  • Assistive technologies for independent aging
  • Pervasive health care and patient monitoring
  • New medical diagnostics and treatments
  • Ambient assisted living
  • Virtual hospitals

3. Communications and Networking

  • Various types of BANs; e.g, in-body, on-body and around-body networks
  • Signal/information processing and communication models in BANs
  • BAN architectures and protocols
  • Power-efficient communications
  • Wireless energy transfer
  • Delay-tolerance, fault-tolerance and reliability in BANs
  • Cloud computing and BANs
  • Cognitive networks for medical bands

4. Systems and Applications

  • Sensing and actuation in BANs
  • Software engineering and systems engineering for BANs
  • Modeling, simulations and empirical experiments
  • Design and performance issues
  • Tools, testbeds and deployment issues
  • Wireless-to-bio interface/transduction
  • Standardization

Application domains include, but not limited to, biomedical engineering, computer vision, defense, entertainment (e.g. computer games), human computer interaction, industrial design, interactive arts, Internet of things, logistics and transportation, physiological monitoring, prosthetics, robotics, smart garments, sports science, and vehicular networks.

In addition to the regular track that covers general/mainstream topics, the BodyNets 2013 technical program features a series of special tracks that focus on specific/emerging topics:

  • Antennas for Body Area Networks (ABAN)
  • Body Area Networks for Sports Applications and Systems (BANS)
  • Body Area Networks with Social Networks (BANSN)
  • Brain and Body Computing based on Embodied Knowledge (BBC)
  • Cloud-assisted Cyber-Physical Systems (CCPS)
  • Computer Vision for Human Sensing (CVHS)
  • Energy Harvesting in Body Area Networks (EHBAN)
  • Healthcare Applications and Challenges of Body Area Networks (HACBAN)
  • Human Body Communications (HBC)
  • Mobile Grid Computing for Smart Health and Well Being (mGrid4SHB)
  • Nano-scale Communications and Networking (NCN)
  • Privacy, Security and Trust in Body Area Networks (PSTBAN)
  • Smart Garments (SG)
  • Smart Health and Big Data (SHBD)

Paper Submission:

Authors are invited to submit papers in the following categories:

  • Regular papers: Up to 7 pages
  • Short papers: Up to 4 pages
  • Poster and demo papers: Up to 1 page

Papers must follow the ACM conference paper format. Please visit http://bodynets.org/2013/show/initial-submission for detailed submission instructions.

The authors of regular and short papers will deliver oral presentations. The authors of poster/demo papers will deliver posters and/or system demonstrations.

Important Dates:

  • Regular paper submission due: June 17
  • Short, poster and demo paper submission due: July 15
  • Notification of acceptance for regular papers: July 25 (extended)
  • Notification of acceptance for short, poster and demo papers: July 29
  • Camera ready due: August 5

Publication:

All accepted paper will be published by ACM and submitted for indexing by ISI, EI Compendex, Scopus, Google Scholar and many more. Selected papers will be considered for publication in leading journals such as: