collocated with the 23rd IEEE Intl. Conference on Mobile Data Management
(MDM 2022)
June 6, 2022, Online
#2 | A combination of visual and temporal trajectory features for cognitive assessment in smart home Samaneh Zolfaghari (University of Cagliari, Italy), Andrea Loddo (University of Cagliari, Italy), Barbara Pes (UK), Daniele Riboni (University of Cagliari, Italy) |
#3 | Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets Darwin P Quezada Gaibor (Universitat Jaume I), Lucie Klus (Tampere University), Joaquin Torres Sospedra (Jaume I University), Elena Simona Lohan (Tampere University), Jari Nurmi (Tampere University of Technology Finland), Carlos Granell (Universitat Jaume I), Joaquin Huerta (Universitat Jaume I) |
#6 | Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications Christos Laoudias (KIOS Center of Excellence, University of Cyprus), Marios Raspopoulos (University of Central Lancashire, Cyprus Campus), Stefanos Christoforou (CYENS Centre of Excellence), Andreas Kamilaris (CYENS Centre of Excellence) |
#8 | Differentially Private Occupancy Monitoring from WiFi Access Points Abbas Zaidi (University of Southern California), Ritesh Ahuja (University of Southern California), Cyrus Shahabi (Computer Science Department. University of Southern California) |
#9 | DNN-based Indoor Fingerprinting Localization with WiFi FTM Eberechukwu N Paulson (Hanyang University, South Korea), Hyunwoo Park (Hanynag University), Christos Laoudias (KIOS Center of Excellence, University of Cyprus), Seppo Horsmanheimo (VTT Technical Research Centre of Finland Ltd.), Sunwoo Kim (Hanyang University, South Korea) |
#11 | ASTRO-K: Finding Top-k Sufficiently Distinct Indoor-Outdoor Paths Vasilis Ethan Sarris (University of Pittsburgh), Constantinos Costa (University of Pittsburgh), Panos K. Chrysanthis (University of Pittsburgh) |
#5 | Thinking Inclusively with CAPRIO Lucas W. Leiby (University of Pittsburgh), Constantinos Costa (University of Pittsburgh), Panos K. Chrysanthis (University of Pittsburgh) |
#7 | Comparing Deep Learning and Human Crafted Features for Recognising Hand Activities of Daily Living from Wearables Eleni Diamantidou (CERTH), Dimitrios Giakoumis (CERTH/ITI), Konstantinos Votis (CERTH/ITI), Dimitrios Tzovaras (CERTH/ITI), Spiridon Likothanassis (Department of Computer Engineering & Informatics University of Patras) |
#10 | A framework for indoor localization using the magnetic field Manon Kok (Delft University of Technology), Frida Viset (Delft University of Technology), Mostafa Osman (Delft University of Technology) |