{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:12:22Z","timestamp":1775067142221,"version":"3.50.1"},"reference-count":32,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T00:00:00Z","timestamp":1730332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Academy of Finland through the SLIM Project","award":["316810 and 316811"],"award-info":[{"award-number":["316810 and 316811"]}]},{"name":"U.S. National Science Foundation (NSF) through the UNITE","award":["SCC CNS-1831918"],"award-info":[{"award-number":["SCC CNS-1831918"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Comput. Healthcare"],"published-print":{"date-parts":[[2024,10,31]]},"abstract":"<jats:p>\n                    <jats:italic>Background<\/jats:italic>\n                    : The health benefits of regular physical activity (PA) are well-established and widely acknowledged. Through the integration of wearable trackers, the Internet of Things (IoT)\u2014a network of interconnected devices capable of collecting and exchanging data\u2014coupled with mobile health (mHealth), which refers to the use of mobile devices to support medical and public health practices, it is now feasible to systematically gather and present individual exercise behaviors. This advanced approach enables the precise correlation of users\u2019 physiological data and daily activities with their specific fitness needs, offering a personalized pathway to improving health outcomes.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    : This study aims to enhance PA levels among individuals by developing a personalized exercise recommendation system. Utilizing reinforcement learning, the system proposes tailored exercise plans based on biomarkers and the user\u2019s specific context.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Methods<\/jats:italic>\n                    : In this study, we developed applications for smartphones and smartwatches designed to gather, monitor, and recommend exercise routines through the application of a contextual multi-arm bandit algorithm. To evaluate the efficacy of this mHealth exercise regimen, we enlisted the participation of twenty female college students.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Results<\/jats:italic>\n                    : The outcomes of our investigation revealed a significant enhancement in the average daily duration of exercise (P\n                    <jats:inline-formula content-type=\"math\/tex\">\n                      <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\({\\lt}\\)<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    . 001). Participants expressed high levels of satisfaction with both the walking program and the recommendation system, achieving average ratings of 4.31 (SD\n                    <jats:inline-formula content-type=\"math\/tex\">\n                      <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(=\\)<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    0.60) and 3.69 (SD\n                    <jats:inline-formula content-type=\"math\/tex\">\n                      <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\(=\\)<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    0.95), respectively, on a 5-point scale. Furthermore, the average scores for participants\u2019 confidence in safely performing the recommended walking exercises, as well as their perception of the study\u2019s effectiveness in meeting their PA needs, were both above 4, indicating a positive reception and confidence in the program\u2019s design and implementation.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Conclusions<\/jats:italic>\n                    : The evolution of the IoT and wearable technology has marked the beginning of a new era for mHealth systems, particularly in the personalization of health interventions. Such advancements enable the precise personalization of PA recommendations, potentially enhancing user engagement and performance outcomes. This paper introduces a novel exercise recommendation system that utilizes reinforcement learning to personalize walking exercises based on the user\u2019s biomarkers and context, aiming to improve the user\u2019s aerobic capacity significantly.\n                  <\/jats:p>","DOI":"10.1145\/3696425","type":"journal-article","created":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T12:09:25Z","timestamp":1727957365000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["PERFECT: Personalized Exercise Recommendation Framework and architECTure"],"prefix":"10.1145","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5412-4509","authenticated-orcid":false,"given":"Milad","family":"Asgari Mehrabadi","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5326-8172","authenticated-orcid":false,"given":"Elahe","family":"Khatibi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4466-7195","authenticated-orcid":false,"given":"Tamara","family":"Jimah","sequence":"additional","affiliation":[{"name":"Bouv\u00e9 College of Health Sciences, Northeastern University, Boston, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9478-2546","authenticated-orcid":false,"given":"Sina","family":"Labbaf","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8923-8327","authenticated-orcid":false,"given":"Holly","family":"Borg","sequence":"additional","affiliation":[{"name":"Sue &amp; Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6888-8144","authenticated-orcid":false,"given":"Laura","family":"Narvaez","sequence":"additional","affiliation":[{"name":"Sue &amp; Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8136-0838","authenticated-orcid":false,"given":"Pamela","family":"Pimentel","sequence":"additional","affiliation":[{"name":"Sue &amp; Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9580-097X","authenticated-orcid":false,"given":"Arlene","family":"Turner","sequence":"additional","affiliation":[{"name":"First 5 Orange County Children &amp; Families Commission, Santa Ana, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3060-8119","authenticated-orcid":false,"given":"Nikil","family":"Dutt","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7637-1276","authenticated-orcid":false,"given":"Yuqing","family":"Guo","sequence":"additional","affiliation":[{"name":"Sue &amp; Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0725-1155","authenticated-orcid":false,"given":"Amir M.","family":"Rahmani","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of California, Irvine, Irvine, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,11,12]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.0000435708.67487.da"},{"key":"e_1_3_1_3_2","volume-title":"ACSM\u2019s Guidelines for Exercise Testing and Prescription","author":"American College of Sports Medicine","year":"2018","unstructured":"American College of Sports Medicine. 2018. 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