Data Integration, Abstraction, & Fusion for Wearable IoT (devices) and other Sensors in a Smart Home Environment.
Umar Ahmad FAU Erlangen-Nürnberg, Germany Supervisor: Prof. Dr. Oliver Amft 24.10.2017
Umar Ahmad, FAU
Introduction & Background2
■ BSc. Electrical Engineering from UET (2005-2009)
■ MSc. Embedded Systems from TU/e (2013-2015)
■ Research Interest: IoT application in Health & Well-being
■ Joined ACROSSING on 1st March, 2017 ■ Expectation as an MSC fellow (ESR) at FAU
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Umar Ahmad, FAU
Expectation as MSC fellow3
■ Great Scientific contribution and Community work
■ Connections ■ Networking
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Umar Ahmad, FAU
My Involvement in ACROSSING4
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Umar Ahmad, FAU
Research Project Objective5
24/10/2017 Dynamic Personal Ecosystem of Devices
Umar Ahmad, FAU
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Wearable Sensors Ambient Sensors in a Smart Home
Research Challenges
Signal Acquisition
Signal Conditioning
Feature Extraction
Pattern Recognition
Context Inference
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Umar Ahmad, FAU
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Wearable Sensors
Research Challenges
Signal Acquisition
Signal Conditioning
Feature Extraction
Pattern Recognition
Context Inference
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Umar Ahmad, FAU
Research Project: A Case Study8
■ How can body sound analysis be used to identify behaviour and health state?
■ How could skull vibration be monitored at smart eyeglasses to analyse chewing?
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Umar Ahmad, FAU
Research Project: A Case Study9
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Umar Ahmad, FAU
Research Project Case Example10
Chewing detection using vibration sensor placed on glasses frame.
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Umar Ahmad, FAU
Achievements
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■ Completed the ICR (Block seminar) at Uni Passau in spring semester 2017.
■ Participation in the Scientific Event (2) and Training Event (3) at DMU Leicester (19-23 June, 2017).
■ Secondment at Reha Rheinfelden (14-16 Aug, 2017).
Umar Ahmad, FAU
Impact on Future Career12
■ Short Term: ■ Investigate use of vibration/acoustic sensors
as wearable devices and their potential applications.
■ Framework that can handle dynamic personal ecosystem of devices.
■ Mid Term: ■ Successful completion of PhD degree.
■ Long Term: ■ Research work to be spin(ed)-off into a Startup
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Thank you! Any Questions?
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Acknowledgement This research work is funded by the EU H2020 Marie Curie Actions Programme