Platform Design for Swarm Wearable Computing
Thomas Broadfoot, Jingxiang Tian, HeeEun Choi, Mohammad-Mahdi Bidmeshki, Roozbeh Jafari, Carl Sechen

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.

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  • 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 âswarmâ 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.

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