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DTSTAMP:20210520T071110Z
UID:488C116D-8EEF-41E9-A3CC-C96F9384AD8A
DTSTART;TZID=Australia/Sydney:20210520T160000
DTEND;TZID=Australia/Sydney:20210520T170000
DESCRIPTION:Wearable computing is a relatively new area of research and dev
 elopment that aims at supporting people in different application domains: 
 health-care (monitoring assisted livings)\, fitness (monitoring athletes)\
 , social interactions (enabling multi-user activity recognition\, e.g.\, h
 andshake)\, videogames (enabling joystick-less interactions)\, factory (mo
 nitoring employees in their activity)\, etc. Wearable computing is based o
 n wearable computing devices/interfaces such as sensor nodes (e.g.\, to me
 asure heart rate\, temperature\, blood oxygen\, etc)\, common life objects
  (e.g.\, watch\, belt\, etc)\, smartphones/PDA. Wearable computing has bee
 n recently boosted by the introduction of body sensor networks (BSNs)\, i.
 e.\, networks of wireless wearable sensor nodes coordinated by more capabl
 e coordinators (smartphones\, tablets\, PCs). Although the basic elements 
 (sensors\, protocols\, coordinators) of a BSN are available (already from 
 a commercial point of view)\, developing BSN systems/applications is a com
 plex task that requires suitable design methods based on effective and eff
 icient programming frameworks. In this DL\, we will first discuss the stat
 e-of-the-art of currently available wearable computing systems based on BS
 Ns. Then\, we will focus on the SPINE Body-Of-Knowledge (https://projects.
 dimes.unical.it/spine-bok/)\, created in the last 15 years by the Prof. Fo
 rtino’s research group\, which includes models\, methods\, algorithms\, 
 frameworks\, tools and systems for the systematic and full-fledged develop
 ment of wearable computing systems based on body sensor networks. We also 
 show real prototypes developed using SPINE BoK\, e.g. activity/gesture rec
 ognition systems\, fall detection systems\, mobile ECG processing systems\
 , elbow/knee rehabilitation systems\, emotion recognition systems\, etc. F
 inally\, the DL will enumerate and discuss future research challenges alon
 g possible solutions (e.g.\, community-oriented wearable computing systems
 ) in such exciting research domain.\n\nCo-sponsored by: Prof. Subhas Mukho
 padhyay\n\nSpeaker(s): Professor Giancarlo Fortino\, \n\nSydney\, New Sout
 h Wales\, Australia\, 2109\, Virtual: https://events.vtools.ieee.org/m/270
 418
LOCATION:Sydney\, New South Wales\, Australia\, 2109\, Virtual: https://eve
 nts.vtools.ieee.org/m/270418
ORGANIZER:Subhas.Mukhopadhyay@mq.edu.au
SEQUENCE:2
SUMMARY:The SPINE Body-of-Knowledge for the systematic and full-fledged dev
 elopment of wearable computing systems based on body sensor networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/270418
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Wearable computing is a relatively new are
 a of research and development that aims at supporting people in different 
 application domains: health-care (monitoring assisted livings)\, fitness (
 monitoring athletes)\, social interactions (enabling multi-user activity r
 ecognition\, e.g.\, handshake)\, videogames (enabling joystick-less intera
 ctions)\, factory (monitoring employees in their activity)\, etc. Wearable
  computing is based on wearable computing devices/interfaces such as senso
 r nodes (e.g.\, to measure heart rate\, temperature\, blood oxygen\, etc)\
 , common life objects (e.g.\, watch\, belt\, etc)\, smartphones/PDA. Weara
 ble computing has been recently boosted by the introduction of body sensor
  networks (BSNs)\, i.e.\, networks of wireless wearable sensor nodes coord
 inated by more capable coordinators (smartphones\, tablets\, PCs). Althoug
 h the basic elements (sensors\, protocols\, coordinators) of a BSN are ava
 ilable (already from a commercial point of view)\, developing BSN systems/
 applications is a complex task that requires suitable design methods based
  on effective and efficient programming frameworks. In this DL\, we will f
 irst discuss the state-of-the-art of currently available wearable computin
 g systems based on BSNs. Then\, we will focus on the SPINE Body-Of-Knowled
 ge (&lt;a href=&quot;https://projects.dimes.unical.it/spine-bok/&quot;&gt;https://projects
 .dimes.unical.it/spine-bok/&lt;/a&gt;)\, created in the last 15 years by the Pro
 f. Fortino&amp;rsquo\;s research group\, which includes models\, methods\, alg
 orithms\, frameworks\, tools and systems for the systematic and full-fledg
 ed development of wearable computing systems based on body sensor networks
 . We also show real prototypes developed using SPINE BoK\, e.g. activity/g
 esture recognition systems\, fall detection systems\, mobile ECG processin
 g systems\, elbow/knee rehabilitation systems\, emotion recognition system
 s\, etc. Finally\, the DL will enumerate and discuss future research chall
 enges along possible solutions (e.g.\, community-oriented wearable computi
 ng systems) in such exciting research domain.&lt;/p&gt;
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