TY - GEN
T1 - A smart wireless inertial measurement unit system
T2 - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
AU - Gaffney, Mark
AU - Walsh, Michael
AU - O'Connell, Seán
AU - Wang, Binyu
AU - O'Flynn, Brendan
AU - Mathuna, Cian Ó
PY - 2011
Y1 - 2011
N2 - Wireless Inertial Measurement Units (WIMUs) combine motion sensing, processing & communications functions in a single device. Data gathered using these sensors has the potential to be converted into high quality motion data. By outfitting a subject with multiple WIMUs full motion data can be gathered. With a potential cost of ownership several orders of magnitude less than traditional camera based motion capture, WIMU systems have potential to be crucially important in supplementing or replacing traditional motion capture and opening up entirely new application areas and potential markets particularly in the rehabilitative, sports & at-home healthcare spaces. Currently WIMUs are underutilized in these areas. A major barrier to adoption is perceived complexity. Sample rates, sensor types & dynamic sensor ranges may need to be adjusted on multiple axes for each device depending on the scenario. As such we present an advanced WIMU in conjunction with a Smart WIMU system to simplify this aspect with 3 usage modes: Manual, Intelligent and Autonomous. Attendees will be able to compare the 3 different modes and see the effects of good and bad set-ups on the quality of data gathered in real time.
AB - Wireless Inertial Measurement Units (WIMUs) combine motion sensing, processing & communications functions in a single device. Data gathered using these sensors has the potential to be converted into high quality motion data. By outfitting a subject with multiple WIMUs full motion data can be gathered. With a potential cost of ownership several orders of magnitude less than traditional camera based motion capture, WIMU systems have potential to be crucially important in supplementing or replacing traditional motion capture and opening up entirely new application areas and potential markets particularly in the rehabilitative, sports & at-home healthcare spaces. Currently WIMUs are underutilized in these areas. A major barrier to adoption is perceived complexity. Sample rates, sensor types & dynamic sensor ranges may need to be adjusted on multiple axes for each device depending on the scenario. As such we present an advanced WIMU in conjunction with a Smart WIMU system to simplify this aspect with 3 usage modes: Manual, Intelligent and Autonomous. Attendees will be able to compare the 3 different modes and see the effects of good and bad set-ups on the quality of data gathered in real time.
KW - Inertial Measurement
KW - Intelligent Embedded Sensor
KW - Ubiquitous Computing
UR - https://www.scopus.com/pages/publications/80054898608
U2 - 10.4108/icst.pervasivehealth.2011.245996
DO - 10.4108/icst.pervasivehealth.2011.245996
M3 - Conference proceeding
AN - SCOPUS:80054898608
SN - 9781936968152
T3 - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
SP - 198
EP - 199
BT - 2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011
Y2 - 23 May 2011 through 26 May 2011
ER -