{"665878":{"#nid":"665878","#data":{"type":"event","title":"Visiting Lecturer - Deciphering the Unseen: Radar-Enabled In-Home Health Monitoring ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Tuesday, March 14, 2023\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;11:00\u0026nbsp;a.m. -\u0026nbsp;12:00 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003ETSRB 134\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u0026nbsp;\u003C\/strong\u003ESevgi Zubeyde Gurbuz\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeakers\u0026#39; Title:\u003C\/strong\u003E\u0026nbsp;Assistant Professor,\u0026nbsp;University of Alabama\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESeminar Title:\u003C\/strong\u003E\u0026nbsp;Deciphering the Unseen: Radar-Enabled In-Home Health Monitoring\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EAs technology advances and an increasing number of devices enter our homes and workplace, humans have become an integral component of cyber-physical systems (CPS). One of the grand challenges of cyber-physical human systems (CPHS) is how to design autonomous systems where human-system collaboration is optimized through improved understanding of human behavior.\u0026nbsp; A new frontier within this landscape is afforded by the advent of low-cost, low-power millimeter (mm)-wave RF transceivers, which enables the exploitation of RF sensors almost anywhere as part of the Internet-of-Things (IoT), smart environments, personal devices, and even wearables.\u0026nbsp; RF sensors not only provide sensing capability when other sensors may be ineffective due to environmental factors, but also provide unique spatio-kinematic measurements that are complementary to that of other sensing modalities.\u0026nbsp; Moreover, in indoor environments where privacy is also a driving consideration, RF sensors offer relatively non-intrusive perception capabilities.\u0026nbsp; Consequently, there have been exciting recent advancements in the use of RF sensing for remote health monitoring in homes and assisted living facilities. Since the first research in radar-based human activity recognition over 15 years ago, where the technology was demonstrated in controlled lab settings, now radar can be found in many new devices hitting the market.\u0026nbsp; This includes the Google SOLI sensor in cell phones for non-contact gesture recognition, as well as products under development by Amazon, Vayyar and others for sleep monitoring, vital sign monitoring, and occupancy recognition.\u0026nbsp; However, these applications only begin to touch the surface of the potential for radar-enabled cyber-physical human systems (CPHS) for health monitoring.\u0026nbsp; Future intelligent devices equipped with cognitive perception and learning will be able to much more effectively and robustly decipher and respond to complex human behaviors. This talk introduces radar-based perception of human movements, especially physics-aware machine learning perspectives that enable improved performance with less data, which can help overcome current limitations and pave the way for future radar-enabled interactive environments.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBiographical Sketch of the Speaker:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs technology advances and an increasing number of devices enter our homes and workplace, humans have become an integral component of cyber-physical systems (CPS). One of the grand challenges of cyber-physical human systems (CPHS) is how to design autonomous systems where human-system collaboration is optimized through improved understanding of human behavior.\u0026nbsp; A new frontier within this landscape is afforded by the advent of low-cost, low-power millimeter (mm)-wave RF transceivers, which enables the exploitation of RF sensors almost anywhere as part of the Internet-of-Things (IoT), smart environments, personal devices, and even wearables.\u0026nbsp; RF sensors not only provide sensing capability when other sensors may be ineffective due to environmental factors, but also provide unique spatio-kinematic measurements that are complementary to that of other sensing modalities.\u0026nbsp; Moreover, in indoor environments where privacy is also a driving consideration, RF sensors offer relatively non-intrusive perception capabilities.\u0026nbsp; Consequently, there have been exciting recent advancements in the use of RF sensing for remote health monitoring in homes and assisted living facilities. Since the first research in radar-based human activity recognition over 15 years ago, where the technology was demonstrated in controlled lab settings, now radar can be found in many new devices hitting the market.\u0026nbsp; This includes the Google SOLI sensor in cell phones for non-contact gesture recognition, as well as products under development by Amazon, Vayyar and others for sleep monitoring, vital sign monitoring, and occupancy recognition.\u0026nbsp; However, these applications only begin to touch the surface of the potential for radar-enabled cyber-physical human systems (CPHS) for health monitoring.\u0026nbsp; Future intelligent devices equipped with cognitive perception and learning will be able to much more effectively and robustly decipher and respond to complex human behaviors. This talk introduces radar-based perception of human movements, especially physics-aware machine learning perspectives that enable improved performance with less data, which can help overcome current limitations and pave the way for future radar-enabled interactive environments.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESevgi Zubeyde Gurbuz, Assistant Professor of Electrical and Computer Engineering, University of Alabama,\u0026nbsp;will present the lecture, \u0026quot;Radar-Enabled In-Home Health Monitoring,\u0026quot; on March 14.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Sevgi Zubeyde Gurbuz, Assistant Professor of Electrical and Computer Engineering, University of Alabama"}],"uid":"36172","created_gmt":"2023-02-16 21:08:34","changed_gmt":"2023-02-16 21:08:39","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-03-14T12:00:00-04:00","event_time_end":"2023-03-14T13:00:00-04:00","event_time_end_last":"2023-03-14T13:00:00-04:00","gmt_time_start":"2023-03-14 16:00:00","gmt_time_end":"2023-03-14 17:00:00","gmt_time_end_last":"2023-03-14 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[{"id":"192163","name":"ECE Lecturer"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:omer.inan@ece.gatech.edu\u0022\u003E\u003Cstrong\u003EOmer Inan\u003C\/strong\u003E\u003C\/a\u003E\u003Cbr \/\u003E\r\nProfessor,\u0026nbsp;School\u0026nbsp;of Electrical and Computer\u0026nbsp;Engineering\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}