[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652958":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":21,"locations":31,"responsibleParty":46,"collaborators":49,"id":52,"slug":53,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":20,"eligibilityCriteria":58,"healthyVolunteers":54,"sex":59,"minAge":60,"maxAge":20,"enrollmentInfo":61,"targetDuration":20,"studyType":64,"phases":65,"briefSummary":67,"conditions":68,"keywords":71,"overallStatus":33,"whyStopped":20,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"I-Shou University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"AIoT-based Exercise","EXPERIMENTAL","Seniors participants will undergo a 12-week AIoT-based cycle ergometer exercise program.",[13],"Device: AIoT-based cycle ergometer exercise system",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DEVICE","AIoT-based cycle ergometer exercise system","AIoT-based cycle ergometer exercise system The system also continuously records exercise-related device data, personal physiological parameters, and facial action units in a structured and systematic manner.",[9],null,[22,27],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},"Chih-Chun Lin","CONTACT","+886-76151100 Ext. 7566","chihchunlin@isu.edu.tw",{"name":28,"role":24,"phone":29,"phoneExt":20,"email":30},"Chien-Yu Hsu","+886-76151100 Ext. 7597","sophia992104@isu.edu.tw",[32],{"facility":5,"status":33,"city":34,"state":20,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"RECRUITING","Kaohsiung City","824","Taiwan","TW",{"type":39,"coordinates":40},"Point",[41,42],120.31333,22.61626,{"lat":42,"lon":41},[45],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},{"type":47,"investigatorFullName":23,"investigatorTitle":48,"investigatorAffiliation":5,"oldNameTitle":20,"oldOrganization":20},"PRINCIPAL_INVESTIGATOR","Assistant Professor",[50],{"name":51,"class":6},"National Cheng-Kung University Hospital","100652958","the-effect-of-an-aiot-based-smart-exercise-system-in-older-adults-100652958",false,"NCT07779824","The Effect of an AIoT-Based Smart Exercise System in Older Adults","Development of a Precision Exercise System for Older Adults and People With Stroke Using Deep Learning and Facial Action Units","Inclusion Criteria:\n\n* Adult over 50 years old\n* No significant limb disability or joint deformation\n* No history of cardiovascular disease\n* Never lost balance due to dizziness in the past 12 months\n\nExclusion Criteria:\n\n* Limb disability or joint deformation\n* History of cardiovascular disease\n* Lost balance due to dizziness in the past 12 months\n* Cognitive deficits","ALL","50 Years",{"count":62,"type":63},200,"ESTIMATED","INTERVENTIONAL",[66],"NA","This clinical trial aims to evaluate the effectiveness of an artificial intelligence of things (AIoT)-based exercise system for seniors. Participants will undergo a 12-week AIoT-based cycle ergometer training program. Physical fitness and functional performance will be assessed at baseline and after completion of the intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, oxygen consumption, perceived exertion, and facial expressions, will be continuously and simultaneously collected for analysis.",[69,70],"Exercise","Seniors",[70,69,72],"facial action unit","2026-08-18",{"date":75,"type":76},"2026-08-21","ACTUAL",{"date":78,"type":76},"2026-02-20",{"date":80,"type":63},"2028-07-31",{"name":5,"class":6},1]