Wearable Computers: O(1) Observation = Many Opportunities
Roozbeh Jafari, Mohammad-Mahdi Bidmeshki

Citation
Roozbeh Jafari, Mohammad-Mahdi Bidmeshki. "Wearable Computers: O(1) Observation = Many Opportunities". Tutorial, 15, November, 2013.

Abstract
Wearable computers bring to fruition many opportunities to continuously monitor human body with sensors placed on body. They provide new avenues to continuously monitor individuals, whether it is intended to detect an early onset of a disease or to assess the effectiveness of the treatment. In the past few years, the community has observed a large number of applications that have been developed using wearable computers. Yet, not many have been deployed in a large scale. There are still several challenges that need to be addressed before realizing the ubiquitous use of wearable computers. In this talk, we present a review of wearable computing systems and their applications. We highlight several components of wearable computers including signal processing, software, hardware architectures, sensors and actuators. We will in particular review signal processing techniques suitable for time-series data acquired from wearable sensors namely dynamic time warping and hidden Markov models. We provide a review for existing software platforms for wearable computers along with the current state-of-the-art hardware architectures. We emphasize the need for holistic approaches optimizing and enhancing the performance of wearable computers (e.g., reducing their form). We will review several cross-layered techniques aimed at creating hardware accelerators for wearable computers. We will conclude the talk by highlighting opportunities and future directions in wearable computer design.

Roozbeh Jafari (www.essp.utdallas.edu) is an associate professor at UT-Dallas. He received his PhD in Computer Science (UCLA) and completed a postdoctoral fellowship at UC-Berkeley. His research interest lies in the area of wearable computer design and signal processing. His research has been funded by the NSF, NIH, DoD - TATRC, AFRL, AFOSR, DARPA, SRC and industry (Texas Instruments, Tektronix, Samsung, Telecom Italia & Texas Health Resources). He has published over 100 papers in refereed journals and conferences. He has served as the general and technical program committee chairs for several flagship conferences in the area of Wireless Health and Wearable Computers including the ACM Wireless Health 2012 and 2013, International Conference on Body Sensor Networks 2011 and International Conference on Body Area Networks 2011. He is an associate editor for the IEEE Sensors Journal and the IEEE Internet of Things Journal. He is the recipient of the NSF CAREER award (2012) and the RTAS 2011 best paper award.

Mohammad-Mahdi Bidmeshki is a PhD student in Computer Engineering at the University of Texas at Dallas. Since 2011, he has been working in embedded systems and signal processing (ESSP) lab on activity monitoring and low power signal processing techniques for wearable computers and medical embedded systems. He received his bachelor’s and master’s degree in Computer Engineering from Sharif University of Technology in Tehran, Iran in 2004 and 2006, respectively. He worked as a lecturer in several universities in Iran and has extensive experience in the design of microcontroller and FPGA based embedded controllers for industrial and medical applications.

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• HTML

  Roozbeh Jafari, Mohammad-Mahdi Bidmeshki. <a
  href="http://www.terraswarm.org/pubs/106.html"
  ><i>Wearable Computers: O(1) Observation = Many
  Opportunities</i></a>, Tutorial,  15, November,
  2013.

• Plain text

  Roozbeh Jafari, Mohammad-Mahdi Bidmeshki. "Wearable
  Computers: O(1) Observation = Many Opportunities".
  Tutorial,  15, November, 2013.

• BibTeX

  @tutorial{JafariBidmeshki13_WearableComputersO1ObservationManyOpportunities,
      author = {Roozbeh Jafari and Mohammad-Mahdi Bidmeshki},
      title = {Wearable Computers: O(1) Observation = Many
                Opportunities},
      day = {15},
      month = {November},
      year = {2013},
      abstract = {Wearable computers bring to fruition many
                opportunities to continuously monitor human body
                with sensors placed on body. They provide new
                avenues to continuously monitor individuals,
                whether it is intended to detect an early onset of
                a disease or to assess the effectiveness of the
                treatment. In the past few years, the community
                has observed a large number of applications that
                have been developed using wearable computers. Yet,
                not many have been deployed in a large scale.
                There are still several challenges that need to be
                addressed before realizing the ubiquitous use of
                wearable computers. In this talk, we present a
                review of wearable computing systems and their
                applications. We highlight several components of
                wearable computers including signal processing,
                software, hardware architectures, sensors and
                actuators. We will in particular review signal
                processing techniques suitable for time-series
                data acquired from wearable sensors namely dynamic
                time warping and hidden Markov models. We provide
                a review for existing software platforms for
                wearable computers along with the current
                state-of-the-art hardware architectures. We
                emphasize the need for holistic approaches
                optimizing and enhancing the performance of
                wearable computers (e.g., reducing their form). We
                will review several cross-layered techniques aimed
                at creating hardware accelerators for wearable
                computers. We will conclude the talk by
                highlighting opportunities and future directions
                in wearable computer design. <p>Roozbeh Jafari
                (www.essp.utdallas.edu) is an associate professor
                at UT-Dallas. He received his PhD in Computer
                Science (UCLA) and completed a postdoctoral
                fellowship at UC-Berkeley. His research interest
                lies in the area of wearable computer design and
                signal processing. His research has been funded by
                the NSF, NIH, DoD - TATRC, AFRL, AFOSR, DARPA, SRC
                and industry (Texas Instruments, Tektronix,
                Samsung, Telecom Italia \& Texas Health Resources).
                He has published over 100 papers in refereed
                journals and conferences. He has served as the
                general and technical program committee chairs for
                several flagship conferences in the area of
                Wireless Health and Wearable Computers including
                the ACM Wireless Health 2012 and 2013,
                International Conference on Body Sensor Networks
                2011 and International Conference on Body Area
                Networks 2011. He is an associate editor for the
                IEEE Sensors Journal and the IEEE Internet of
                Things Journal. He is the recipient of the NSF
                CAREER award (2012) and the RTAS 2011 best paper
                award.</p> <p>Mohammad-Mahdi Bidmeshki is a PhD
                student in Computer Engineering at the University
                of Texas at Dallas. Since 2011, he has been
                working in embedded systems and signal processing
                (ESSP) lab on activity monitoring and low power
                signal processing techniques for wearable
                computers and medical embedded systems. He
                received his bachelor’s and master’s degree in
                Computer Engineering from Sharif University of
                Technology in Tehran, Iran in 2004 and 2006,
                respectively. He worked as a lecturer in several
                universities in Iran and has extensive experience
                in the design of microcontroller and FPGA based
                embedded controllers for industrial and medical
                applications. </p>},
      URL = {http://terraswarm.org/pubs/106.html}
  }
  

Posted by Christopher Brooks on 18 Sep 2013.