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ORCID20th PerCom 2022: Pisa, Italy
- IEEE International Conference on Pervasive Computing and Communications, PerCom 2022, Pisa, Italy, March 21-25, 2022. IEEE 2022, ISBN 978-1-6654-1643-6
- Franco Zambonelli, Virginia Dignum, Jeremy Pitt, Giovanni Sartor, Gregor Schiele:
Panel-Pervasive Autonomy: Humans-in-the-loop or Forget-about-them? Panel Summary : March 24, 2022 14: 00. 1-2 - Jaime Morales
, Naoya Yoshimura, Qingxin Xia, Atsushi Wada, Yasuo Namioka, Takuya Maekawa:
Acceleration-based Human Activity Recognition of Packaging Tasks Using Motif-guided Attention Networks. 1-12 - Seulki Lee, Shahriar Nirjon:
Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning. 13-22 - Michael Sünkel, Golnaz Elmamooz, Marco Grawunder, Phan Thai Hoang, Elke Rauch, Lara Schmeling, Stefan Thurner, Daniela Nicklas:
Resource-Aware Classification via Model Management Enabled Data Stream Optimization. 23-33 - Chamara Madarasingha, Kanchana Thilakarathna, Albert Y. Zomaya:
OpCASH: Optimized Utilization of MEC Cache for 360-Degree Video Streaming with Dynamic Tiling. 34-43 - Ji-Yan Wu, Vithurson Subasharan, Tuan Tran, Archan Misra:
MRIM: Enabling Mixed-Resolution Imaging for Low-Power Pervasive Vision Tasks. 44-53 - Mohammad Ashraful Hoque, Benjamin Finley, Ashwin Rao, Abhishek Kumar, Pan Hui, Mostafa H. Ammar, Sasu Tarkoma:
Context-driven Encrypted Multimedia Traffic Classification on Mobile Devices. 54-64 - Schahram Dustdar:
Keynote: Engineering the New Fabric of the Distributed Compute Continuum. 65 - Sreenivasan Ramasamy Ramamurthy, Soumyajit Chatterjee, Elizabeth Galik, Aryya Gangopadhyay, Nirmalya Roy, Bivas Mitra, Sandip Chakraborty:
CogAx: Early Assessment of Cognitive and Functional Impairment from Accelerometry. 66-76 - Daniel Uvaydov, Raffaele Guida, Pedram Johari, Francesco Restuccia, Tommaso Melodia:
AiEEG: Personalized Seizure Prediction Through Partially-Reconfigurable Deep Neural Networks. 77-88 - Enrico Casella, Atieh Rajabi Khamesi, Simone Silvestri, Denise A. Baker, Sajal K. Das:
HVAC Power Conservation through Reverse Auctions and Machine Learning. 89-100 - Yifan Yang, Wei Gong:
Universal Space-Time Stream Backscatter with Ambient WiFi. 101-110 - Fatima Hachem, Davide Vecchia, Maria Luisa Damiani, Gian Pietro Picco:
Fine-grained Stop-Move Detection in UWB-based Trajectories. 111-118 - Kai Xu, Rajkarn Singh, Hakan Bilen, Marco Fiore, Mahesh K. Marina, Yue Wang:
CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots. 119-129 - Firmin Kateu, Gentian Jakllari, Emmanuel Chaput:
SmartPhOx: Smartphone-Based Pulse Oximetry Using a Meta-Region Of Interest. 130-140 - Md Washik Al Azad, Spyridon Mastorakis:
Reservoir: Named Data for Pervasive Computation Reuse at the Network Edge. 141-151 - Andrew Chio, Daokun Jiang, Peeyush Gupta, Georgios Bouloukakis, Roberto Yus, Sharad Mehrotra, Nalini Venkatasubramanian:
SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations. 152-162 - Daniela Rus:
Keynote: One Robot for Every Task. 163 - Qiuyue Shirley Xue, D. Shin, Anupam Pathak, Jake Garrison, Jonathan Hsu, Mark Malhotra, Shwetak N. Patel:
LuckyChirp: Opportunistic Respiration Sensing Using Cascaded Sonar on Commodity Devices. 164-171 - Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa:
ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters. 172-179 - Muhammad Sarmad Mir, Behnaz Majlesein, Borja Genovés Guzmán, Julio Francisco Rufo Torres, Domenico Giustiniano:
RGB LED Bulbs for Communication, Harvesting and Sensing. 180-186 - Gürkan Solmaz, Pankaj Baranwal, Flavio Cirillo:
CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities. 187-196 - Matteo Cardaioli, Mauro Conti, Pier Paolo Tricomi, Gene Tsudik:
Privacy-Friendly De-authentication with BLUFADE: Blurred Face Detection. 197-206 - Ricardo Mendes, André Brandão, João P. Vilela, Alastair R. Beresford:
Effect of User Expectation on Mobile App Privacy: A Field Study. 207-214 - Franco Zambonelli, Virginia Dignum, Jeremy Pitt, Giovanni Sartor, Gregor Schiele:
Pervasive Autonomy: Humans-in-the-loop or Forget-about-them? Panel Summary. 215-216 - Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. 217-226 - Riccardo Presotto, Gabriele Civitarese, Claudio Bettini:
FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognition. 227-236 - Rawan Alharbi, Sougata Sen, Ada Ng, Nabil Alshurafa, Josiah D. Hester:
ActiSight: Wearer Foreground Extraction Using a Practical RGB-Thermal Wearable. 237-246
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