DiscoverXsens DOTcast#4 Deep learning and advanced signal processing applied to inertial sensor technology (with Frank Wouda & Ibrahim Bilal)
#4 Deep learning and advanced signal processing applied to inertial sensor technology (with Frank Wouda & Ibrahim Bilal)

#4 Deep learning and advanced signal processing applied to inertial sensor technology (with Frank Wouda & Ibrahim Bilal)

Update: 2022-03-14
Share

Description

In today's episode, we have two very talented individuals that do some fantastic work behind the curtains of Xsens within the technology team. First, off the bat, we have Dr. Frank Wouda. Frank has a bachelor's master's degree in mechanical engineering from the University of Toronto, followed by a Ph.D. and uses minimal sensors set for full-body motion capture, which set the path to work on motion capture algorithms at Xsens as a research engineer. Second up, we have Dr. Ibrahim Bilal. Ibrahim is an analytical engineer at heart who received his master's degree from KTH Sweden and his Ph.D. from the University of Twente in the Netherlands, both in the field of wireless communication with experience in cellular industry and research. He has developed a strong background in signal processing sensor networks and estimation theory. For the past two and a half years, he has been working Xsens as a senior research engineer, where he's leading the motion technology team.

Comments 
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

#4 Deep learning and advanced signal processing applied to inertial sensor technology (with Frank Wouda & Ibrahim Bilal)

#4 Deep learning and advanced signal processing applied to inertial sensor technology (with Frank Wouda & Ibrahim Bilal)

Xsens