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

7

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