Professor Philippe Lenca, Julie Soulas and Sofian Berrouiguet
Telecom Bretagne, France
Nowadays many users can be involved willingly and monitored in a more or less intrusive manner with data collected in their homes. This data can be collected from mobile and wearable devices (such as smart phone and smart watch), from sensors disseminated in the home (such as motion detectors and contact switches) and from self-reported information systems (using paper based or web-based ecological momentary assessment techniques). This data can then be useful to characterize the activity, the health and the well-being of the involved person. Enabling people suffering (such as elderly people, people with physical disabilities and people with mental-health condition) to stay in their home as long as possible in good condition is an important challenge for many countries. Firstly, most of people would rather to continue to live in their own home rather than move to a nursing-home or an hospital, secondly the solutions enabling staying at home are also usually cheaper for the society. As a consequence Smart Home and Ambient Assisted Living (SHAAL) systems gain more and more attention. SHAAL systems use information and communication technologies in a personâ€™s daily living environment to enable them to stay active longer, remain socially connected and live independently. SHAAL's research covers a wide range of topics. This talk will review the main aspects of SHAAL systems from the data mining point of view. Several case studies will be illustrated. In particular it will emphasize the key role of activity learning and behavior understanding.
Philippe Lenca is full Professor at Institut Mines Telecom, Telecom Bretagne a prestigious French graduate engineering school and international research centre in the field of information technologies (Brest, Brittany, France). He is the Head of Department Logics in Uses, Social Science and Information Science and is a researcher at the UMR 6285 Lab-STICC (Laboratory of Information and Communication Science and Technology). He is a founding member of the DECIDE (DECision aId and knowleDge discovEry) team which he led from 2008 until 2015. He received a Master's Degree and a MagistĂ¨re Degree in Computer Science (Universities Paris VI & University Paris V) in 1992. He graduated with a PhD Degree in Computer Science from the University of Rennes I & IRISA (Research institute in computer science and random systems) in 1997. Last, he received his Habilitation from the University of Lyon in 2007. Philippe Lenca's research interests include data science, decision aiding and artificial intelligence. He has a particular focus on interestingness measures and quality issues, algorithms (both supervised and non supervised approaches), especially rule-based learning algorithms, and applications in data mining. He is a founding member and co-chair, since 2012, of the Task Force 'Evaluation & quality in data mining' of the IEEE CIS Data Mining and Big Data Analytics Technical Committee and Steering Committee member, since 2012, of the International Conference 'Discovery Science'.
Julie Soulas is a PhD Student at Institut Mines Telecom, Telecom Brestagne. She received an engineering degree from Telecom Bretagne in 2012. Her research interests include data mining, and sensor networks, with a focus on unsupervised pattern discovery and monitoring.
Sofian Berrouiguet was born in Geneva, Switzerland, in 1981. He graduated with a diploma of medicine from the Medical Scool of Brest (France) in 2011, and with a diploma in psychiatry also in 2011. In 2013, he graduated with a Master in Genetics, Genomics and biotechnologies from the Université de Bretagne Occidentale (France). He joined in 2011 the Adult psychiatry department of the University Hospital of Brest in Pr Michel Walter team, and he was in charge of the SIAM multicentric randomized controlled trial, assessing the effect of a web-based post-acute crisis text messaging outreach for suicide prevention. Between 2014 and 2015, he joined the University Autonoma in Madrid, Spain, and collaborated in the developpement of the MEmind project directed by Pr Enrique Baca Garcia and Pr Philippe Courtet. In his Phd research, he is currently working in Pr. Philippe Lenca LUSSI department (Telecom Bretagne Department, Brest, France) on the potential impacts of mobile-health tools on the clinical decision making process in mental health.
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