{"id":366,"date":"2022-01-24T13:34:56","date_gmt":"2022-01-24T13:34:56","guid":{"rendered":"https:\/\/percom.org\/2023\/?page_id=366"},"modified":"2022-12-23T16:23:05","modified_gmt":"2022-12-23T16:23:05","slug":"list-of-accepted-paper","status":"publish","type":"page","link":"https:\/\/percom.org\/2023\/list-of-accepted-paper\/","title":{"rendered":"List of accepted papers"},"content":{"rendered":"<h5>\u00a0<\/h5>\n\n\n<p>Zengyi Han and Liqiang Xu (The University of Tokyo, Japan); Xuefu Dong (Universiy of Tokyo, Japan); Yuuki Nishiyama (The University of Tokyo, Japan); Kaoru Sezaki (University of Tokyo, Japan)<\/p>\n\n\n\n<p><strong>HeadMon: Head Dynamics Enabled Riding Maneuver Prediction<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">_____________________________________________________________________________________________<\/pre>\n\n\n\n<p>Peizhao Zhu, Yongpan Zou, Wenyuan Li and Kaishun Wu (Shenzhen University, China)<\/p>\n\n\n\n<p><strong>CHAR: Composite Head-body Activities Recognition with A Single Earable Device<\/strong><\/p>\n\n\n\n<p>___________________________________________________________________________________________<\/p>\n\n\n\n<p>Lucan de Groot (Delft University of Technology, The Netherlands); Talia Xu (Delft Technology University, The Netherlands); Marco Zuniga (Delft University of Technology, The Netherlands)<\/p>\n\n\n\n<p><strong>DroneVLC: Exploiting Drones and VLC to Gather Data from Batteryless Sensors<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Thanh-Tung Nguyen (Korea Advanced Institute of Science and Technology, Korea (South)); Si Young Jang (KAIST, Korea (South)); Boyan Kostadinov and Dongman Lee (Korea Advanced Institute of Science and Technology, Korea (South))<\/p>\n\n\n\n<p><strong>PreActo: Efficient Cross-Camera Object Tracking System in Video Analytics Edge Computing<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Atsushi Nomura and Masato Sugasaki (Tokyo Institute of Technology, Japan); Kota Tsubouchi (Yahoo Japan Corporation, Japan); Nobuhiko Nishio (Ritsumeikan University, Japan); Masamichi Shimosaka (Tokyo Institute of Technology, Japan)<\/p>\n\n\n\n<p><strong>Device-free multi-person indoor localization using the change of ToF<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Kayla-Jade Butkow and Ting Dang (University of Cambridge, United Kingdom (Great Britain)); Andrea Ferlini (Cambridge University, United Kingdom (Great Britain) &amp; Nokia Bell Labs, Cambrdige, United Kingdom (Great Britain)); Dong Ma (Singapore Management University, Singapore); Cecilia Mascolo (University of Cambridge, United Kingdom (Great Britain))<\/p>\n\n\n\n<p><strong>hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Thilina Dissanayake, Takuya Maekawa and Takahiro Hara (Osaka University, Japan)<\/p>\n\n\n\n<p><strong>Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Marco Cominelli (University of Brescia, Italy); Francesco Gringoli (CNIT\/University of Brescia, Italy); Francesco Restuccia (Northeastern University, USA)<\/p>\n\n\n\n<p><strong>Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Daeyong Kim, Junick Ahn and Hakjun Lee (Yonsei University, Korea (South)); Hojung Cha (Yonsei University, S. Korea, Korea (South))<\/p>\n\n\n\n<p><strong>Highly Responsive Batteryless System for Indoor Light Energy Harvesting Environments<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Yihang Cheng and Lan Zhang (University of Science and Technology of China, China); Anran Li (Nanyang Technological University, Singapore)<\/p>\n\n\n\n<p><strong>GFL: Federated Learning on Non-IID data via Privacy-preserving Synthetic data<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Di Duan and Huanqi Yang (City University of Hong Kong, Hong Kong); Guohao Lan (Delft University of Technology, The Netherlands); Tianxing Li (Michigan State University, USA); Xiaohua Jia and Weitao Xu (City University of Hong Kong, Hong Kong)<\/p>\n\n\n\n<p><strong>EMGSense: A Low-Effort Self-Supervised Domain Adaptation Framework for EMG Sensing<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Peng Jiang (Old Dominion University, USA); Hongyi Wu (The University of Arizona, USA); Yanxiao Zhao (Virginia Commonwealth University, USA); Danella Zhao (University of Arizona, USA); ChunSheng Xin (Old Dominion University, USA)<\/p>\n\n\n\n<p><strong>SEEK: Detecting GPS Spoofing via a Sequential Dashcam based Vehicle Localization Framework<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Masakazu Ohno, Riki Ukyo, Tatsuya Amano, Hamada Rizk and Hirozumi Yamaguchi (Osaka University, Japan)<\/p>\n\n\n\n<p><strong>Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Argha Sen (Indian Institute of Technology Kharagpur, India); Avijit Mandal and Prasenjit Karmakar (IIT KHARAGPUR, India); Anirban Das (IIT Kharagpur, India); Sandip Chakraborty (Indian Institute of Technology Kharagpur, India)<\/p>\n\n\n\n<p><strong>mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Harish Kashyap Haresamudram (Georgia Institute of Technology, USA); Irfan A Essa (Georgia Insitute of Technology, USA); Thomas Pl\u00f6tz (Georgia Institute of Technology, USA)<\/p>\n\n\n\n<p><strong>Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Nafees Ahmad and Ho-Fung Leung (The Chinese University of Hong Kong, Hong Kong)<\/p>\n\n\n\n<p><strong>ALAE-TAE-CutMix+: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Ziyu Wu, Quan Wan, Mingjie Zhao, Yi Ke, Yiran Fang, Zhen Liang, Fangting Xie and Jingyuan Cheng (University of Science and Technology of China, China)<\/p>\n\n\n\n<p><strong>MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Tianzhang He (Monash University, Australia); Adel Nadjaran Toosi (Monash University, Australia &amp; The University of Melbourne, Australia); Negin Akbari (Monash University, Australia); Tawfiq Islam (University of Melbourne, Australia); Muhammad Aamir Cheema (Monash University, Australia)<\/p>\n\n\n\n<p><strong>An Intent-based Framework for Vehicular Edge Computing<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Son Nguyen, Duc V. Le and Paul Havinga (University of Twente, The Netherlands)<\/p>\n\n\n\n<p><strong>Learning the world from its words: Anchor-agnostic Transformers for Fingerprint-based Indoor Localization<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Weiqi Wu, Ammar Hawbani and Wei Gong (University of Science and Technology of China, China)<\/p>\n\n\n\n<p><strong>Ortho-CodeA: Orthogonal Codes Assisted Backscatter Multiple Access<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Robert Cobden (University of Sussex, United Kingdom (Great Britain)); Muhammad Zeeshan (South East Technological University, Ireland); Daniel Roggen and Robert Prance (University of Sussex, United Kingdom (Great Britain)); Lianglun Lai (Huawei Technologies Research and Development UK Ltd, United Kingdom (Great Britain)); Arash Pouryazdan (University of Sussex, United Kingdom (Great Britain))<\/p>\n\n\n\n<p><strong>Characterisation of Wearable Electric-Field Communication Link for BAN Multimedia Applications<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Xiaopeng Jiang (New Jersey Institute of Technology, USA); Thinh On (New Jersey Insittute of Technology, USA); Hai Phan and Hessamaldin Mohammadi (New Jersey Institute of Technology, USA); Vijaya D Mayyuri (Qualcomm Technologies Inc, USA); An Chen (Qualcomm Incorporated, USA); Ruoming Jin (Kent State University, USA); Cristian Borcea (New Jersey Institute of Technology, USA)<\/p>\n\n\n\n<p><strong>Zone-based Federated Learning for Mobile Sensing Data<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Matin Fallahi (Karlsruhe Institute of Technology, Germany); Thorsten Strufe (Karlsruhe Institute of Technology &amp; Centre for Tactile Internet (CeTI)\/TU Dresden, Germany); Patricia Arias-Cabarcos (Paderborn University, Germany)<\/p>\n\n\n\n<p><strong>BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Zhaoyuan Xu and Wei Gong (University of Science and Technology of China, China)<\/p>\n\n\n\n<p><strong>BumbleBee: Enabling the Vision of Pervasive ZigBee Backscatter Communication<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Debasree Das, Sandip Chakraborty and Bivas Mitra (Indian Institute of Technology Kharagpur, India)<\/p>\n\n\n\n<p><strong>DriCon: On-device Just-in-Time Context Characterization for Unexpected Driving Events<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini and Francesco Lo Presti (University of Rome Tor Vergata, Italy)<\/p>\n\n\n\n<p><strong>Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum<\/strong><\/p>\n\n\n\n<p>_____________________________________________________________________________________________<\/p>\n\n\n\n<p>Steven M. Hernandez and Eyuphan Bulut (Virginia Commonwealth University, USA)<\/p>\n\n\n\n<p><strong>Scheduled Spatial Sensing against Adversarial WiFi Sensing<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 Zengyi Han and Liqiang Xu (The University of Tokyo, Japan); Xuefu Dong (Universiy of Tokyo, Japan); Yuuki Nishiyama (The University of Tokyo, Japan); Kaoru Sezaki (University of Tokyo, Japan) HeadMon: Head Dynamics Enabled Riding Maneuver Prediction _____________________________________________________________________________________________ Peizhao Zhu, Yongpan Zou, Wenyuan Li and Kaishun Wu (Shenzhen University, China) CHAR: Composite Head-body Activities Recognition [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/percom.org\/2023\/list-of-accepted-paper\/\">Read More&#8230;<span class=\"screen-reader-text\"> from List of accepted papers<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-366","page","type-page","status-publish","hentry"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/pages\/366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/comments?post=366"}],"version-history":[{"count":4,"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/pages\/366\/revisions"}],"predecessor-version":[{"id":896,"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/pages\/366\/revisions\/896"}],"wp:attachment":[{"href":"https:\/\/percom.org\/2023\/wp-json\/wp\/v2\/media?parent=366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}