[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-31137":3,"doc-seo-31137":21},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"update_tm":20},31137,13056703020460,"Valentina","https://ap-avatar.wpscdn.com/avatar/be000253dac470eee5d?_k=1778207105932848923",8,"Research & Report","Forensic Analysis for IoT Fitness Trackers and Its Application","Fitness trackers collect biometric signals such as distance and activity patterns, calorie consumption, heartbeat, and sleep quality, while also synchronizing data to connected mobile applications. Although designed for personal health monitoring, tracker records can corroborate or refute claims about a suspect’s interrogation statements and a victim’s activities around an incident. The work compares Xiaomi Mi Band 2 and Fitbit Alta HR, identifies required data acquisition paths on Android, and provides digital-forensics-oriented analysis methods for body, sleep, and activity states, including recovery of deleted data.","cbCaifZ2dV9SOnuA","https://ap.wps.com/l/cbCaifZ2dV9SOnuA","pdf",1738942,1,1778619834,{"code":4,"msg":22,"data":23},"ok",{"site_id":24,"language":25,"slug":26,"title":13,"keywords":27,"description":14,"schema_data":28,"social_meta":62,"head_meta":64,"extra_data":66,"updated_unix":20},105,"en","forensic-analysis-for-iot-fitness-trackers-and-its-application","",{"@graph":29,"@context":61},[30,47],{"@type":31,"itemListElement":32},"BreadcrumbList",[33,37,41,44],{"item":34,"name":35,"@type":36,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":38,"name":39,"@type":36,"position":40},"https://docshare.wps.com/document/","Document",2,{"item":42,"name":12,"@type":36,"position":43},"https://docshare.wps.com/document/research-report/",3,{"item":45,"name":13,"@type":36,"position":46},"https://docshare.wps.com/document/forensic-analysis-for-iot-fitness-trackers-and-its-application/31137",4,{"url":45,"name":13,"@type":48,"author":49,"headline":13,"publisher":51,"fileFormat":54,"description":14,"dateModified":55,"datePublished":55,"encodingFormat":54,"isAccessibleForFree":56,"interactionStatistic":57},"DigitalDocument",{"name":9,"@type":50},"Person",{"url":34,"name":52,"@type":53},"DocShare","Organization","application/pdf","2026-05-12",true,{"@type":58,"interactionType":59,"userInteractionCount":4},"InteractionCounter",{"@type":60},"ViewAction","https://schema.org",{"og:url":45,"og:type":63,"og:title":13,"og:site_name":52,"og:description":14},"article",{"robots":65,"canonical":45},"index,follow",{"doc_id":7,"site_id":24}]