Citation
Thomas Broadfoot, Jingxiang Tian, HeeEun Choi, Mohammad-Mahdi Bidmeshki, Roozbeh Jafari, Carl Sechen. "Platform Design for Swarm Wearable Computing". Talk or presentation, 29, September, 2013; Presented at the First International Workshop on the Swarm at the Edge of the Cloud (SEC'13 @ ESWeek), Montreal.

Abstract
Wearable computers can provide continuous intelligent real-time monitoring of the human body, enabling a large variety of new applications in several domains including wellness and health care. The key notion of Swarm Wearable Computing is ubiquitous intelligent embedded processing for sensing, monitoring and logging of data about human activity. This paper provides a discussion of the design challenges associated with the vision of "swarm" integrated wearable computers and a holistic approach to programmable ASIC design. An ultra-low power signal processing SoC capable of processing tri-axial accelerometer data for human activity recognition is presented. Technological hurdles like ease-of-use, device lifetime, and form factor as well as critical issues for “swarm” devices are considered. Programmability and adaptability of signal processing, energy aware power management and control, and hardware optimization are crucial to the realization of the vision of a single chip solution. The core signal processing architecture has been implemented in C and significant progress has been made on a behavioral Verilog description. The ultimate goal of this project is CMOS fabrication of a fully integrated SoC including embedded processing, sub-threshold SRAM, wireless connectivity, energy harvesting, power management, and battery-on-chip.

Electronic downloads

• http://www.src.org/library/publication/p067483/. (SRC Website)
• PlatformDesignforSwarmWearableComputing_Jafari_SEC13_Montreal.pdf · application/pdf · 2558 kbytes
• broadfoot_platdesign_edge.pdf · application/pdf · 139 kbytes. (Abstract)

• HTML

  Thomas Broadfoot, Jingxiang Tian, HeeEun Choi,
  Mohammad-Mahdi Bidmeshki, Roozbeh Jafari, Carl Sechen. <a
  href="http://www.terraswarm.org/pubs/121.html"><i>Platform
  Design for Swarm Wearable Computing</i></a>,
  Talk or presentation,  29, September, 2013; Presented at the
  <a
  href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
  >First International Workshop on the Swarm at the Edge of
  the Cloud (SEC'13 @ ESWeek)</a>, Montreal.

• Plain text

  Thomas Broadfoot, Jingxiang Tian, HeeEun Choi,
  Mohammad-Mahdi Bidmeshki, Roozbeh Jafari, Carl Sechen.
  "Platform Design for Swarm Wearable Computing".
  Talk or presentation,  29, September, 2013; Presented at the
  <a
  href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
  >First International Workshop on the Swarm at the Edge of
  the Cloud (SEC'13 @ ESWeek)</a>, Montreal.

• BibTeX

  @presentation{BroadfootTianChoiBidmeshkiJafariSechen13_PlatformDesignForSwarmWearableComputing,
      author = {Thomas Broadfoot and Jingxiang Tian and HeeEun
                Choi and Mohammad-Mahdi Bidmeshki and Roozbeh
                Jafari and Carl Sechen},
      title = {Platform Design for Swarm Wearable Computing},
      day = {29},
      month = {September},
      year = {2013},
      note = {Presented at the <a
                href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
                >First International Workshop on the Swarm at the
                Edge of the Cloud (SEC'13 @ ESWeek)</a>, Montreal.},
      abstract = {Wearable computers can provide continuous
                intelligent real-time monitoring of the human
                body, enabling a large variety of new applications
                in several domains including wellness and health
                care. The key notion of Swarm Wearable Computing
                is ubiquitous intelligent embedded processing for
                sensing, monitoring and logging of data about
                human activity. This paper provides a discussion
                of the design challenges associated with the
                vision of "swarm" integrated wearable computers
                and a holistic approach to programmable ASIC
                design. An ultra-low power signal processing SoC
                capable of processing tri-axial accelerometer data
                for human activity recognition is presented.
                Technological hurdles like ease-of-use, device
                lifetime, and form factor as well as critical
                issues for �swarm� devices are considered.
                Programmability and adaptability of signal
                processing, energy aware power management and
                control, and hardware optimization are crucial to
                the realization of the vision of a single chip
                solution. The core signal processing architecture
                has been implemented in C and significant progress
                has been made on a behavioral Verilog description.
                The ultimate goal of this project is CMOS
                fabrication of a fully integrated SoC including
                embedded processing, sub-threshold SRAM, wireless
                connectivity, energy harvesting, power management,
                and battery-on-chip.},
      URL = {http://terraswarm.org/pubs/121.html}
  }
  

Posted by Christopher Brooks on 29 Sep 2013.