{"id":628,"date":"2025-04-17T14:29:07","date_gmt":"2025-04-17T12:29:07","guid":{"rendered":"http:\/\/percom2026.fabio-pc.lan.nic.it\/?page_id=628"},"modified":"2026-02-14T19:34:42","modified_gmt":"2026-02-14T18:34:42","slug":"technical-program-main-conference","status":"publish","type":"page","link":"https:\/\/percom.org\/2026\/technical-program-main-conference\/","title":{"rendered":"Technical Program (Main Conference)"},"content":{"rendered":"<h4><strong><u>Session 1: Human Activity Recognition<\/u><\/strong><\/h4>\n<ul>\n<li><strong>SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz<\/em><strong><br \/><\/strong><\/p>\n<ul>\n<li><strong>RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna<\/em><\/p>\n<ul>\n<li><strong>HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based Human Activity Recognition<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Kei Tanigaki; Takuya Maekawa; Takahiro Hara<\/em><\/p>\n<ul>\n<li><strong>A Teaching Assistant for Teacher-Student Learning: Knowledge Transfer from Skeleton to Inertial Sensing for Activity Recognition in Industrial Domains<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Hongyin Qiao; Qingxin Xia; Hamada Rizk; Takuya Maekawa<\/em><\/p>\n<h4><strong><u>Session 2: Advanced Sensing Systems<\/u><\/strong><\/h4>\n<ul>\n<li><strong>\u03bcTouch: Enabling Accurate, Lightweight Self-Touch Sensing with Passive Magnets<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Siyuan Wang; Ke Li; Jingyuan Huang; Jike Wang; Cheng Zhang; Alanson Sample; Dongyao Chen<\/em><\/p>\n<ul>\n<li><strong>SolarTrack: Exploring the Continuous Tracking Capabilities of Wearable Solar Harvesters<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yasien Ghalwash; Abdelwahed Khamis; Moid Sandhu; Sara Khalifa; Raja Jurdak<\/em><\/p>\n<ul>\n<li><strong>CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Junhao Zhao; Zishuai Liu; Ruili Fang; Jin Lu; Linghan Zhang; Fei Dou<\/em><\/p>\n<ul>\n<li><strong>SenseLess: Minimal Vision, Maximum Insight for Smart Homes<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Norah Abdullah Albazzai; Omer Rana; Charith Perera<\/em><\/p>\n<h4><strong><u>Session 3: Best Paper Candidates<\/u><\/strong><\/h4>\n<ul>\n<li><strong>Wandatch: Infrastructure-Free Point-to-Command with Smartwatches and Speakers<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Lin Chen; Yandao Huang; Minghui Qiu; Shuxin Zhong; Jun Chen; Kaishun Wu<\/em><\/p>\n<ul>\n<li><strong>HoloQRam: Efficient Real-Time Spatial Video Delivery via Animated QR Codes<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Jaewon Choi; JeongGil Ko<\/em><\/p>\n<ul>\n<li><strong>MentalCare: Contrastive Disentanglement and Positive Transfer for Psychiatric Disorder Detection with a Wristband-Smartphone System<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yufei Zhang; Wenting Kuang; Zite Huang; Changhe Fan; Yongpan Zou<\/em><\/p>\n<h4><strong><u>Session 4: Edge Intelligence and IoT Systems<\/u><\/strong><\/h4>\n<ul>\n<li><strong>ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Daghash Khalid Alqahtani; Maria A. Rodriguez; Muhammad Aamir Cheema; Hamid Rezatofighi; Adel N. Toosi<\/em><\/p>\n<ul>\n<li><strong>Beyond Communication: On-Modem DNN Inference and Training for Home Appliances<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Insung Jung; Seulki Lee<\/em><\/p>\n<ul>\n<li><strong>PSMark: A Distributed IoT Benchmark for Publish\/Subscribe Under Domain-Based Workloads<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Christian Badolato; Nathan Samson; Houssam Hajj Hassan; Chih-Kai Huang; Georgios Bouloukakis; Primal Pappachan; Roberto Yus<\/em><\/p>\n<ul>\n<li><strong>TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Toan Gian; Dung Trung Tran; Viet Quoc Pham; Francesco Restuccia; Van-Dinh Nguyen<\/em><\/p>\n<h4><strong><u>Session 5: Spotlight Feature Session (incl. Coffee)<\/u><\/strong><\/h4>\n<ul>\n<li><strong>Now You See Me, Now You Don&#8217;t: Consent-Driven Privacy for Smart Glasses<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yahya Khawaja; Eman Nabeel; Sana Humayun; Eruj Javed; Katharina Krombholz; Muhammad Hamad Alizai; Naveed Anwar Bhatti<\/em><\/p>\n<ul>\n<li><strong>LEAF: Layer-Wise Energy-Adaptive Framework for Multi-DNN Real-Time Intermittent Systems<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Hyunwoo Koo; Wonyeong Lee; Jinkyu Lee<\/em><\/p>\n<ul>\n<li><strong>Addressing Extra Voices and Background Noise in Continuous Speech Monitoring: A Case Study on Chronic Obstructive Pulmonary Disease<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Salaar Liaqat; Daniyal Liaqat; Tatiana Son; Robert Wu; Andrea Gershon; Eyal de Lara; Alex Mariakakis<\/em><\/p>\n<ul>\n<li><strong>ReFDrone: One-Shot Indoor Drone 4DoF Estimation via Rolling-Shutter AoA from Floor-Reflected Light<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yusei Onishi; Hiroaki Murakami; Masanari Nakamura; Hiromichi Hashizume; Masanori Sugimoto<\/em><\/p>\n<ul>\n<li><strong>AcouBLE: Clock-Seeding BLE chips via Acoustic Signals for Extended Energy Efficiency<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Mohammad Rostami; Gentian Jakllari<\/em><\/p>\n<ul>\n<li><strong>Towards Device-Free Gaming with mmWave Radar<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yukuan Ding; Harvy Martinez; Girish Vaidya; Koendert Langendoen; Marco Zuniga<\/em><\/p>\n<ul>\n<li><strong>ScaleWave: Breaking Through Resource Bottlenecks to Scale Up Serverless Computing at the Edge<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Summit Shrestha; Zheng Song; Eli Tilevich; Zhengquan Li; Christine Julien; Probir Roy<\/em><\/p>\n<ul>\n<li><strong>Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Emon Dey; Anuradha Ravi; Gaurav Shinde; Garvit Chugh; Indrajeet Ghosh; Archan Misra; Nirmalya Roy<\/em><\/p>\n<ul>\n<li><strong>Dynamic Client Selector: A Double Deep Q-Learning Framework for Efficient Federated Learning<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Sangeen Khan; Md Monjurul Karim; Muhammad Muzammal; Qiang Qu<\/em><\/p>\n<ul>\n<li><strong>Efficient Memory Usage For Edge FaaS Platforms<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Djob Mvondo; Boris Teabe; Nikos Parlavantzas<\/em><\/p>\n<ul>\n<li><strong>D-SYNC: Enhancing Vehicle Localization with Dashcam-Satellite Image Synchronization<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Peng Jiang; Liuwan Zhu; Rui Ning; Michael Wu; ChunSheng Xin<\/em><\/p>\n<h4><strong><u>Session 6: Risks, Security and Systems for Pervasive Models<\/u><\/strong><\/h4>\n<ul>\n<li><strong>A Picture is Worth a Thousand Risks: Inferring Privacy Risks from Home Interior Images via Object-Level Sensitivity Analysis<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Lindrit Kqiku; Eddie Bark; Archan Misra; Delphine Reinhardt<\/em><\/p>\n<ul>\n<li><strong>HoSig-Align I: Edge-Native Threat Attribution using Homology Blocks in IoT-Pervasive Networks<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Aiting Yao; Shantanu Pal; Chengzu Dong; Di Shao; Wenying Feng; Ruonan Li; Zhaoquan Gu<\/em><\/p>\n<ul>\n<li><strong>Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Minju Kang; Jaeho Jin; Sungmin Lee; JeongGil Ko<\/em><\/p>\n<ul>\n<li><strong>MERCI: Adaptive Multi-Expert Inference for Dynamic and Large-Vocabulary Vision Perception<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Wootack Kim; Minkyung Jeong; Seokgyeong Shin; Juheon Yi; Youngki Lee<\/em><\/p>\n<h4><strong><u>Session 7: Mobile and Ambient Sensing for Health and Navigation<\/u><\/strong><\/h4>\n<ul>\n<li><strong>HydratEar: Non-Invasive Hydration Monitoring using In-Ear Acoustic Reflectometry<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Garvit Chugh; Suchetana Chakraborty<\/em><\/p>\n<ul>\n<li><strong>Attention Feature Fusion with Cluster Contrastive Learning for Snoring and Breath-Holding Detection Using Seismic Sensing<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Yingjian Song; Jiayu Chen; Zixuan Zeng; Yida Zhang; Zaid Farooq Pitafi; Bradley G. Phillips; Xiang Zhang; Fei Dou; WenZhan Song<\/em><\/p>\n<ul>\n<li><strong>SignAlign: A Smartphone-Based Visual Positioning System for Enhanced Bicycle Safety<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Lennart Busch; Lars Mathuseck; Johann G\u00f6tz; Judith Simone Heinisch; Klaus David<\/em><\/p>\n<ul>\n<li><strong>Argos: Leveraging Visual Priors for Scalable Wireless Navigation in Dynamic Environments<\/strong><\/li>\n<\/ul>\n<p style=\"padding-left: 80px;\"><em>Arko Datta; Tharaneeshwaran V U; Aravindh Sriram Kumar A G; Ayon Chakraborty<\/em><\/p>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based Human Activity Recognition Kei Tanigaki; Takuya Maekawa; Takahiro Hara A Teaching Assistant for Teacher-Student Learning: Knowledge Transfer from Skeleton to Inertial Sensing for Activity Recognition in Industrial Domains Hongyin Qiao; Qingxin Xia; Hamada Rizk; Takuya Maekawa Session 2: Advanced Sensing Systems \u03bcTouch: Enabling Accurate, Lightweight Self-Touch Sensing with Passive Magnets Siyuan Wang; Ke Li; Jingyuan Huang; Jike Wang; Cheng Zhang; Alanson Sample; Dongyao Chen SolarTrack: Exploring the Continuous Tracking Capabilities of Wearable Solar Harvesters Yasien Ghalwash; Abdelwahed Khamis; Moid Sandhu; Sara Khalifa; Raja Jurdak CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams Junhao Zhao; Zishuai Liu; Ruili Fang; Jin Lu; Linghan Zhang; Fei Dou SenseLess: Minimal Vision, Maximum Insight for Smart Homes Norah Abdullah Albazzai; Omer Rana; Charith Perera Session 3: Best Paper Candidates Wandatch: Infrastructure-Free Point-to-Command with Smartwatches and Speakers Lin Chen; Yandao Huang; Minghui Qiu; Shuxin Zhong; Jun Chen; Kaishun Wu HoloQRam: Efficient Real-Time Spatial Video Delivery via Animated QR Codes Jaewon Choi; JeongGil Ko MentalCare: Contrastive Disentanglement and Positive Transfer for Psychiatric Disorder Detection with a Wristband-Smartphone System Yufei Zhang; Wenting Kuang; Zite Huang; Changhe Fan; Yongpan Zou Session 4: Edge Intelligence and IoT Systems ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge Daghash Khalid Alqahtani; Maria A. Rodriguez; Muhammad Aamir Cheema; Hamid Rezatofighi; Adel N. Toosi Beyond Communication: On-Modem DNN Inference and Training for Home Appliances Insung Jung; Seulki Lee PSMark: A Distributed IoT Benchmark for Publish\/Subscribe Under Domain-Based Workloads Christian Badolato; Nathan Samson; Houssam Hajj Hassan; Chih-Kai Huang; Georgios Bouloukakis; Primal Pappachan; Roberto Yus TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing Toan Gian; Dung Trung Tran; Viet Quoc Pham; Francesco Restuccia; Van-Dinh Nguyen Session 5: Spotlight Feature Session (incl. Coffee) Now You See Me, Now You Don&#8217;t: Consent-Driven Privacy for Smart Glasses Yahya Khawaja; Eman Nabeel; Sana Humayun; Eruj Javed; Katharina Krombholz; Muhammad Hamad Alizai; Naveed Anwar Bhatti LEAF: Layer-Wise Energy-Adaptive Framework for Multi-DNN Real-Time Intermittent Systems Hyunwoo Koo; Wonyeong Lee; Jinkyu Lee Addressing Extra Voices and Background Noise in Continuous Speech Monitoring: A Case Study on Chronic Obstructive Pulmonary Disease Salaar Liaqat; Daniyal Liaqat; Tatiana Son; Robert Wu; Andrea Gershon; Eyal de Lara; Alex Mariakakis ReFDrone: One-Shot Indoor Drone 4DoF Estimation via Rolling-Shutter AoA from Floor-Reflected Light Yusei Onishi; Hiroaki Murakami; Masanari Nakamura; Hiromichi Hashizume; Masanori Sugimoto AcouBLE: Clock-Seeding BLE chips via Acoustic Signals for Extended Energy Efficiency Mohammad Rostami; Gentian Jakllari Towards Device-Free Gaming with mmWave Radar Yukuan Ding; Harvy Martinez; Girish Vaidya; Koendert Langendoen; Marco Zuniga ScaleWave: Breaking Through Resource Bottlenecks to Scale Up Serverless Computing at the Edge Summit Shrestha; Zheng Song; Eli Tilevich; Zhengquan Li; Christine Julien; Probir Roy Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization Emon Dey; Anuradha Ravi; Gaurav Shinde; Garvit Chugh; Indrajeet Ghosh; Archan Misra; Nirmalya Roy Dynamic Client Selector: A Double Deep Q-Learning Framework for Efficient Federated Learning Sangeen Khan; Md Monjurul Karim; Muhammad Muzammal; Qiang Qu Efficient Memory Usage For Edge FaaS Platforms Djob Mvondo; Boris Teabe; Nikos Parlavantzas D-SYNC: Enhancing Vehicle Localization with Dashcam-Satellite Image Synchronization Peng Jiang; Liuwan Zhu; Rui Ning; Michael Wu; ChunSheng Xin Session 6: Risks, Security and Systems for Pervasive Models A Picture is Worth a Thousand Risks: Inferring Privacy Risks from Home Interior Images via Object-Level Sensitivity Analysis Lindrit Kqiku; Eddie Bark; Archan Misra; Delphine Reinhardt HoSig-Align I: Edge-Native Threat Attribution using Homology Blocks in IoT-Pervasive Networks Aiting Yao; Shantanu Pal; Chengzu Dong; Di Shao; Wenying Feng; Ruonan Li; Zhaoquan Gu Foreground Graphics-Aware Runtime DNN Scheduling on Mobile GPUs Minju Kang; Jaeho Jin; Sungmin Lee; JeongGil Ko MERCI: Adaptive Multi-Expert Inference for Dynamic and Large-Vocabulary Vision Perception Wootack Kim; Minkyung Jeong; Seokgyeong Shin; Juheon Yi; Youngki Lee Session 7: Mobile and Ambient Sensing for Health and Navigation HydratEar: Non-Invasive Hydration Monitoring using In-Ear Acoustic Reflectometry Garvit Chugh; Suchetana Chakraborty Attention Feature Fusion with Cluster Contrastive Learning for Snoring and Breath-Holding Detection Using Seismic Sensing Yingjian Song; Jiayu Chen; Zixuan Zeng; Yida Zhang; Zaid Farooq Pitafi; Bradley G. Phillips; Xiang Zhang; Fei Dou; WenZhan Song SignAlign: A Smartphone-Based Visual Positioning System for Enhanced Bicycle Safety Lennart Busch; Lars Mathuseck; Johann G\u00f6tz; Judith Simone Heinisch; Klaus David Argos: Leveraging Visual Priors for Scalable Wireless Navigation in Dynamic Environments Arko Datta; Tharaneeshwaran V U; Aravindh Sriram Kumar A G; Ayon Chakraborty<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"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-628","page","type-page","status-publish"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/percom.org\/2026\/technical-program-main-conference\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.8\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"IEEE International Conference on Pervasive Computing and Communication - IEEE International Conference on Pervasive Computing and Communication\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication\" \/>\n\t\t<meta property=\"og:description\" content=\"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/percom.org\/2026\/technical-program-main-conference\/\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&#038;ssl=1\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&#038;ssl=1\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2025-04-17T12:29:07+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2026-02-14T18:34:42+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based\" \/>\n\t\t<meta name=\"twitter:image\" content=\"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&amp;ssl=1\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026#listItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/percom.org\\\/2026\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#listItem\",\"name\":\"Technical Program (Main Conference)\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#listItem\",\"position\":2,\"name\":\"Technical Program (Main Conference)\",\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026#listItem\",\"name\":\"Home\"}}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/#organization\",\"name\":\"IEEE International Conference on Pervasive Computing and Communication\",\"description\":\"IEEE International Conference on Pervasive Computing and Communication\",\"url\":\"https:\\\/\\\/percom.org\\\/2026\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https:\\\/\\\/i0.wp.com\\\/percom.org\\\/2026\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/logo_percom_giallo_e_blu.png?fit=1520%2C561&ssl=1\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#organizationLogo\",\"width\":1520,\"height\":561,\"caption\":\"logo_percom_giallo_e_blu\"},\"image\":{\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#organizationLogo\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#webpage\",\"url\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/\",\"name\":\"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication\",\"description\":\"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based\",\"inLanguage\":\"en-US\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/#website\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/technical-program-main-conference\\\/#breadcrumblist\"},\"datePublished\":\"2025-04-17T14:29:07+02:00\",\"dateModified\":\"2026-02-14T19:34:42+01:00\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/#website\",\"url\":\"https:\\\/\\\/percom.org\\\/2026\\\/\",\"name\":\"IEEE International Conference on Pervasive Computing and Communication\",\"description\":\"IEEE International Conference on Pervasive Computing and Communication\",\"inLanguage\":\"en-US\",\"publisher\":{\"@id\":\"https:\\\/\\\/percom.org\\\/2026\\\/#organization\"}}]}\n\t\t<\/script>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication","description":"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based","canonical_url":"https:\/\/percom.org\/2026\/technical-program-main-conference\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BreadcrumbList","@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#breadcrumblist","itemListElement":[{"@type":"ListItem","@id":"https:\/\/percom.org\/2026#listItem","position":1,"name":"Home","item":"https:\/\/percom.org\/2026","nextItem":{"@type":"ListItem","@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#listItem","name":"Technical Program (Main Conference)"}},{"@type":"ListItem","@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#listItem","position":2,"name":"Technical Program (Main Conference)","previousItem":{"@type":"ListItem","@id":"https:\/\/percom.org\/2026#listItem","name":"Home"}}]},{"@type":"Organization","@id":"https:\/\/percom.org\/2026\/#organization","name":"IEEE International Conference on Pervasive Computing and Communication","description":"IEEE International Conference on Pervasive Computing and Communication","url":"https:\/\/percom.org\/2026\/","logo":{"@type":"ImageObject","url":"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&ssl=1","@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#organizationLogo","width":1520,"height":561,"caption":"logo_percom_giallo_e_blu"},"image":{"@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#organizationLogo"}},{"@type":"WebPage","@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#webpage","url":"https:\/\/percom.org\/2026\/technical-program-main-conference\/","name":"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication","description":"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based","inLanguage":"en-US","isPartOf":{"@id":"https:\/\/percom.org\/2026\/#website"},"breadcrumb":{"@id":"https:\/\/percom.org\/2026\/technical-program-main-conference\/#breadcrumblist"},"datePublished":"2025-04-17T14:29:07+02:00","dateModified":"2026-02-14T19:34:42+01:00"},{"@type":"WebSite","@id":"https:\/\/percom.org\/2026\/#website","url":"https:\/\/percom.org\/2026\/","name":"IEEE International Conference on Pervasive Computing and Communication","description":"IEEE International Conference on Pervasive Computing and Communication","inLanguage":"en-US","publisher":{"@id":"https:\/\/percom.org\/2026\/#organization"}}]},"og:locale":"en_US","og:site_name":"IEEE International Conference on Pervasive Computing and Communication - IEEE International Conference on Pervasive Computing and Communication","og:type":"article","og:title":"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication","og:description":"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based","og:url":"https:\/\/percom.org\/2026\/technical-program-main-conference\/","og:image":"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&#038;ssl=1","og:image:secure_url":"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&#038;ssl=1","article:published_time":"2025-04-17T12:29:07+00:00","article:modified_time":"2026-02-14T18:34:42+00:00","twitter:card":"summary_large_image","twitter:title":"Technical Program (Main Conference) - IEEE International Conference on Pervasive Computing and Communication","twitter:description":"Session 1: Human Activity Recognition SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition Deepika Gurung; Lala Shakti Swarup Ray; Mengxi Liu; Bo Zhou; Paul Lukowicz RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Nirhoshan Sivaroopan; Hansi Karunarathna; Chamara Madarasingha; Anura P Jayasumana; Kanchana Thilakarathna HARBench: A Comprehensive Benchmark for Evaluating Foundation Models in Sensor-based","twitter:image":"https:\/\/i0.wp.com\/percom.org\/2026\/wp-content\/uploads\/2025\/04\/logo_percom_giallo_e_blu.png?fit=1520%2C561&ssl=1"},"aioseo_meta_data":{"post_id":"628","title":null,"description":null,"keywords":null,"keyphrases":{"focus":{"keyphrase":"","score":0,"analysis":{"keyphraseInTitle":{"score":0,"maxScore":9,"error":1}}},"additional":[]},"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":"","og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"WebPage","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":"-1","robots_max_videopreview":"-1","robots_max_imagepreview":"large","priority":null,"frequency":"default","local_seo":null,"breadcrumb_settings":null,"limit_modified_date":false,"ai":{"faqs":[],"keyPoints":[],"titles":[],"descriptions":[],"socialPosts":{"email":[],"linkedin":[],"twitter":[],"facebook":[],"instagram":[]}},"created":"2025-04-17 12:29:07","updated":"2026-02-14 18:47:11","seo_analyzer_scan_date":null},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/percom.org\/2026\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">&raquo;<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\tTechnical Program (Main Conference)\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/percom.org\/2026"},{"label":"Technical Program (Main Conference)","link":"https:\/\/percom.org\/2026\/technical-program-main-conference\/"}],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/pages\/628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/comments?post=628"}],"version-history":[{"count":5,"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/pages\/628\/revisions"}],"predecessor-version":[{"id":1550,"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/pages\/628\/revisions\/1550"}],"wp:attachment":[{"href":"https:\/\/percom.org\/2026\/wp-json\/wp\/v2\/media?parent=628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}