Date: September 14th, 2021 – 16:00 CET
Speaker: Hristijan Gjoreski
Title: Wearable Computing and its Machine-Learning Applications
Abstract: The recent technological advancements in the sensors development in their miniaturization, allowed numerous applications in the areas of wearable computing, pervasive computing, smart systems, mobile health etc. This talk will focus on few important machine-learning applications in with wearable devices such as smartphones, smartwatches, smart wristbands, etc.
The first part of the talk will introduce the whole process of development of a machine learning pipeline for human activity recognition with wearable accelerometers. Numerous technical steps in the creation of the classification model will be discussed, such as: sensor data filtering, data segmentation, feature engineering, training a classification model and its evaluation. Additionally, some ideas and recent trends will be presented, including deep learning approaches, transfer learning, and unsupervised learning.
The second part of the talk will focus on other ML applications in wearable computing such as: calorie expenditure estimation, fall detection, stress and arousal recognition. Each of these applications will be individually discussed and appropriate ML solutions will be presented.
Short bio: Hristijan Gjoreski is Assistant Professor at the Ss. Cyril and Methodius University in Skopje, Macedonia. He finished his PhD at the Jozef Stefan Institute in Slovenia, and was postdoctoral researcher at University of Sussex, UK. His research experience is in the domains of applied Artificial Intelligence and Machine Learning. He has specialized in development of machine-learning algorithms in the areas of e-health, wearable computing, activity recognition and affective computing. He has participated more than 12 international projects, and currently is a coordinator of the European Horizon 2020 Twinning project – WideHealth. He has 3 international patent applications, has more than 100 scientific publications, and 1700 citations with h-index of 23. He has received award “Best Young Scientist” for 2016 from the President of Republic of Macedonia. He established and is organizer of the Data Science Macedonia group, with more than 1000 members. He has won 3 international machine learning competitions for human activity recognition with wearable sensors, which experience will be presented during this talk.
The EU-funded WideHealth project aims to conduct research on pervasive eHealth and establish a sustainable network of research and dissemination across Europe.