Speakers - Juan García Domínguez and Ana Jiménez Martín
Use of Inertial Measurement Units for short and long-term physical activity monitoring
| 16h00 - 16h45 GMT
In recent years there has been an increased interest in monitoring people of all ages. This increase has been particularly noticeable in the use of wearable devices, such as smart watches or activity bracelets, which provide information on steps, distance travelled, calories consumed, physiological parameters, etc. With the increase in life expectancy, the need to design devices and applications for monitoring the health of the older adults emerges with different objectives, as to provide telecare assistance, to improve their quality of life as well as to keep their independence. Currently, many studies propose to perform physical tests of elderly people using inertial measurement units (IMUs) placed on different parts of the body, in order to provide information about physical activity (PA) for the frailty assessment. However, these tests are usually of short duration, and often do not provide objective information on the PA of the person.
This talk is intended to show the use of the IMUs for physical activity monitoring, but not only for short duration tests, but also for long-term analysis that provides a better and more objective information on person’s PA. As IMUs can provide information about positioning, this webinar will also cover the advantages of fusing the positioning with PA, in order to obtain people routines.
Juan Jesús García Domínguez
University of Alcalá, Spain
Juan Jesús García Domínguez (M’06) holds a degree in Telecommunications Engineering from the Polytechnic University of Valencia (Spain) and a European PhD in Telecommunications Engineering from University of Alcalá (Spain). He was awarded best doctoral thesis in 2006. He currently occupies a position of Professor at the Department of Electronics of the University of Alcalá. His research interests cover the areas of multisensorial systems, positioning systems and electronic and information technologies applied to transport. Currently, he is focusing on ambient intelligence for independent living, applied to the evaluation of frailty in the elderly.
He has participated in many research projects, with public funding (28 projects, 6 as Principal Investigator) and private funding (59 projects, 21 as Principal Investigator). The results of his research have been disseminated in numerous publications in journals (more than 50 international publications in indexed journals); national and international conferences (more than 120 papers) and three patents. He has also supervised five doctoral theses on the above-mentioned topics.
He has been a member of the Organizing Committee of different national and international conferences: 7th Indoor Positioning Indoor Navigation (IPIN2016), 5th IEEE International Symposium on Intelligent Signal Processing (WISP’07), TELEC 2004, SAAEI 2002, etc.
The result of all this activity is also the recognition of four periods of research activity (1994-1999, 2000-2004, 2005-2010 and 2011-2016) and a period of Knowledge Transfer and Innovation in 2020.
Ana Jiménez Martín
University of Alcalá, Spain
Ana Jiménez Martín (M’03) got her Materials Engineering and PhD degrees at the Technical University of Madrid, Spain, in 1998 and 2003, respectively. Previously, she held a degree in Physics from the Complutense University of Madrid. From 2004 she occupies a position of Associate Professor in the Department of Electronics at the University of Alcala. During her university activity she has participated in numerous research projects covering very diverse areas as microelectronics (growth and characterization of GaN related devices), ultrasonic sensors, multisensorial systems and indoor and underwater local positioning systems. Currently, her research work has focused on ambient intelligence for independent living, applied to the evaluation of frailty in the elderly.
She has worked in more than 45 regional and national research projects. She is co-author of 42 research manuscripts published in international journals of high impact, more than 80 communications in international conferences, and 1 national patents. She has supervised three doctoral theses with the highest grade. In addition to the research activity, she has extensive teaching experience, and she has participated in more than 10 teaching innovation projects.
Speaker - Sreeraman Rajan
Applied Machine Learning for Wearable and Remote Sensors
| 16h45 - 17h30 GMT
Machine learning has emerged as an advanced powerful data processing tool and is currently becoming the core of sensor development. With the demand for continuous monitoring steadily increasing, IoT sensors have sprung up in various forms. Machine learning has been aiding us to make meaningful decisions out of these sensed data. In this talk, the application of machine learning for wearable and remote sensors will be considered with emphasis on handling data. Two main trends of data handling will be discussed in this speech. First, compressive techniques will be explored to compress the data, and then machine learning in the compressed domain can be investigated. For example, sensors used for monitoring arrhythmia produce a lot of data. Second, deep learning techniques for sensing falls- acquired by remote and wearable sensors- will be discussed. In areas such as fall monitoring, there is no adequate amount of data to train a deep model. Therefore, few-shot learning approaches for learning from limited data will also be considered in this talk.
Carleton University, Canada
Sreeraman Rajan is a Tier 2 Canada Research Chair in Advanced Sensors and Signal Processing. He is an Associate Professor with Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada. He is currently the Director, Ottawa Carleton Institute for Biomedical Engineering after serving as its Associate Director from 2016 -2020. Before joining Carleton University, he was with Defence Research and Development Canada (DRDC) Ottawa, Canada as a Senior Defence Scientist. He has worked in the areas of nuclear science and engineering, control, electronic warfare, communication and biomedical engineering while in industry. He is currently the Chair of the IEEE Ottawa EMBS and AESS Chapters. He is also the North America Director for IEEE Consumer Technology Society. He is also a member of the Board of Governors of IEEE Consumer Technology Society. He has served IEEE Canada as its board member (2010-Oct 2018) and the IEEE MGA in its Admissions and Advancement Committee, Strategic and Environment Assessment Committee. He was awarded the IEEE MGA Achievement Award in 2012 and recognized for his IEEE contributions with Queen Elizabeth II Diamond Jubilee Medal in 2012. IEEE Canada recognized his outstanding service through 2016 W.S. Read Outstanding Service Award. IEEE Ottawa Section recognized him as an Outstanding Volunteer in 2012, an Outstanding Engineer in 2018 and an Outstanding Researcher in 2019. He was recognized for his outstanding research by the Faculty of Engineering and Design, Carleton University in 2019, as an outstanding graduate mentor in 2017. He has been involved in organizing several successful IEEE conferences and has been a reviewer for several IEEE journals and conferences. He is the holder of two patents and two disclosures of invention. He has authored more than 200 journal articles, conference papers and government technical reports. He is a Senior Member of IEEE, a member of IEEE Instrumentation and Measurement, Engineering in Medicine and Biology, Signal Processing and Aerospace and Electronic Systems, and Consumer Technology Societies.