Monthly Archives: December 2016

M.Sc Thesis Defense Session Announcement – Alireza Jafari

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M.Sc. Thesis Defense Session

in

Computer Engineering (Hardware)

Tittle:

Design and Evaluation of Smart Health Networks for Elderly and Disabled Community

By

Alireza Jafari

Supervisor:

Dr. Ghassemian

Advisor:

Dr. Parissa Taheri (MD)

Examination Committee:

Dr. Ali Movaghar – Dr. Maghsoud Abbaspour – Dr. Islam Nazemi

Location: Room 117, Faculty of Computer Science and Engineering.

Time: Monday, December 25 , 2016 (5 Dey 1395) – 15:00.

Abstract: Considering the elderly population growth and the shift in the base of the age pyramid in mainly in developed countries, and given the scientific breakthroughs in the implementation of communication infrastructure in different dimensions, discussions revolving around the smart home and its practical applications is no longer a far-fetched concept. In this report, a system, using paired passive infrared (PIR) sensors at each entry of the house, observes the collective activities of the physically-challenged individual as well as monitors his or her movement pattern. This system is designed in a manner that, while ensuring reliability concerning accuracy and reliability, it minimizes the negative impact on the individual’s privacy and does not add additional complication for the implementation or the installation phase.

Based on a behavioral data collection for a period of three weeks over a smart home testbed , well-known medium access control (MAC) protocols applicable for the scenario under study are reported. Focus regarding the selection of protocols is mainly concerned on the fact that, although numerous researches have been conducted toward the development of MAC protocols, most protocols have been observed or improved, considering their network features, under simulated circumstances. To identify suitable MAC protocols for the smart home application, using collected data is vital. In this research, in a testbed which uses PIR sensors that accurately record movement, the activities of the physically-challenged individual has been monitored for 21 days. The dynamic of this environment works in a way that a most of possible errors can be easily detected through different methods. Afterwards, using the simulator, the collected data will study and compare three protocols, namely X-MAC, RI-MAC and A-MAC, for the three criteria of duty cycle, package delivery ratio, and latency. Furthermore, these criteria are simulated using the previously-mentioned simulated data. The acquired results indicate that, by applying real data, the performance of these protocols is closely similar. It is shown, however, that, by including simulation based on real data, the performance of A-MAC in the work cycle aspect is higher than the RI-MAC and X-MAC protocols by 16.8 and 23.5 percent, respectively. Furthermore with the other simulation results based on well-known CASAS project, we have finished with the nearly same results in comparison with our implemented testbed and the collected data.

Keywords: Smart home, Activity of daily living, Smart home network architecture, MAC layer protocol, X-MAC, RI-MAC, A-MAC

Wearable sensors for healthcare monitoring applications

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In 12 December 2016, Dr. Ghassemian had a presentation at main theater room of Computer Science and Engineering (CSE) Faculty.

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This presentation entitled  “Wearable sensors for healthcare monitoring applications” addressed the current state-of-art of WBANs based on the latest standards which enable IoMTs with a range of representative applications. Also, Dr. Ghassemian introduced eSense Research Lab Projects in this talk and an activity recognition prototype demonstrated to close this seminar. The slides of this presentation will be available to download later.

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Furthermore, Professor Matthias Kranz from the University of Passau attended at this talk as a guest of Computer Science and Engineering Faculty and introduced the research activities of his lab at the University of Passau, “EIS LAB”.

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2nd Science and Technology Day in CSE Faculty

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For the 2nd consecutive year, Computer Science and Engineering faculty celebrated the science and technology day.

The 2nd Science and Technology day was held on 4 December 2016 at Computer Science and Engineering (CSE) Faculty. Every research labs in this faculty and their students introduced their researches to the other faculty members and show their products and results.

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As last year, e-Sense research lab participated in this event as well and e-Sense members tried to present their research works by posters and running many demos.

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Human Activity Recognition (HAR), smart home and Neurofeedback Therapy demos  are the projects which is demonstrated in this event by eSense members.

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Dr Ghassemian Presentation at SBU

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Title

Internet of Medical things: Wearable sensors for healthcare monitoring applications

Presenter: Dr Mona Ghassemian

Time & Location:

13:00 – Monday 12th December 2016
main theatre room, Faculty of Computer Science and Engineering, shahid Beheshti University

Abstract: Recent technological advancements in wireless low power/low range communication systems, MicroElectroMechanical Systems (MEMS) technology and integrated circuits have enabled low-power, intelligent, miniaturised, nano-technology sensor nodes strategically placed around the human body to be used in various applications, such as wearable wireless healthcare monitoring systems. This exciting new area of research is called Wireless Body Area Networks (WBANs) and leverages the emerging IEEE 802.15.6 and IEEE 802.15.4j standards, specifically standardised for Internet of Medical Things (IoMTs).
This seminar addresses the current state-of-art of WBANs based on the latest standards which enable IoMTs with a range of representative applications. From these applications, we will abstract out the major challenges to realising the wearable wireless sensors systems for healthcare monitoring applications. Open issues and challenges within each area are also explored as a source of inspiration towards future developments in wearable healthcare systems.
An activity recognition prototype demonstration will conclude the seminar to provide the practical aspects and challenges for a wearable wireless sensor network solution.