{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T21:48:35Z","timestamp":1762033715853,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,9,26]],"date-time":"2018-09-26T00:00:00Z","timestamp":1537920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Institutes of Health (NIH)","award":["GS501100001809"],"award-info":[{"award-number":["GS501100001809"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,9,26]]},"DOI":"10.1145\/3278576.3278599","type":"proceedings-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T16:07:12Z","timestamp":1579709232000},"page":"75-80","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["SmartEAR"],"prefix":"10.1145","author":[{"given":"Debanjan","family":"Borthakur","sequence":"first","affiliation":[{"name":"University of Rhode Island"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Peltier","sequence":"additional","affiliation":[{"name":"University of Rhode Island"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harishchandra","family":"Dubey","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua V.","family":"Gyllinsky","sequence":"additional","affiliation":[{"name":"University of Rhode Island"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunal","family":"Mankodiya","sequence":"additional","affiliation":[{"name":"University of Rhode Island"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n. d.]. Deep Learning for Image Recognition: why it\u00e2\u0102Źs challenging where we\u00e2\u0102Źve been and what\u00e2\u0102Źs next. https:\/\/towardsdatascience.com\/deep-learning-for-image-classification-why-its-challenging-where-we-ve-been-and-what-s-next-93b56948fcef.  [n. d.]. Deep Learning for Image Recognition: why it\u00e2\u0102Źs challenging where we\u00e2\u0102Źve been and what\u00e2\u0102Źs next. https:\/\/towardsdatascience.com\/deep-learning-for-image-classification-why-its-challenging-where-we-ve-been-and-what-s-next-93b56948fcef."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/1932296814567708"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CHASE.2017.83"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8308688"},{"key":"e_1_3_2_1_5_1","volume-title":"Sapana Ashok Sasane, and Chinmaya Misra","author":"Barik Rabindra Kumar","year":"2018","unstructured":"Rabindra Kumar Barik , Harishchandra Dubey , Kunal Mankodiya , Sapana Ashok Sasane, and Chinmaya Misra . 2018 . GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. Journal of Ambient Intelligence and Humanized Computing ( 2018), 1--17. Rabindra Kumar Barik, Harishchandra Dubey, Kunal Mankodiya, Sapana Ashok Sasane, and Chinmaya Misra. 2018. GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. Journal of Ambient Intelligence and Humanized Computing (2018), 1--17."},{"key":"e_1_3_2_1_6_1","volume-title":"Rakesh K Lenka, Bhabani Shankar Prasad Mishra, Himansu Das, and Kunal Mankodiya.","author":"Barik Rabindra K","year":"2018","unstructured":"Rabindra K Barik , Harishchandra Dubey , Chinmaya Misra , Debanjan Borthakur , Nicholas Constant , Sapana Ashok Sasane , Rakesh K Lenka, Bhabani Shankar Prasad Mishra, Himansu Das, and Kunal Mankodiya. 2018 . Fog Assisted Cloud Computing in Era of Big Data and Internet-of-Things: Systems, Architectures, and Applications. In Cloud Computing for Optimization: Foundations, Applications, and Challenges. Springer , 367--394. Rabindra K Barik, Harishchandra Dubey, Chinmaya Misra, Debanjan Borthakur, Nicholas Constant, Sapana Ashok Sasane, Rakesh K Lenka, Bhabani Shankar Prasad Mishra, Himansu Das, and Kunal Mankodiya. 2018. Fog Assisted Cloud Computing in Era of Big Data and Internet-of-Things: Systems, Architectures, and Applications. In Cloud Computing for Optimization: Foundations, Applications, and Challenges. Springer, 367--394."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8308687"},{"key":"e_1_3_2_1_8_1","volume-title":"Fog-assisted wiot: A smart fog gateway for end-to-end analytics in wearable internet of things. arXiv preprint arXiv:1701.08680","author":"Constant Nicholas","year":"2017","unstructured":"Nicholas Constant , Debanjan Borthakur , Mohammadreza Abtahi , Harishchandra Dubey , and Kunal Mankodiya . 2017. Fog-assisted wiot: A smart fog gateway for end-to-end analytics in wearable internet of things. arXiv preprint arXiv:1701.08680 ( 2017 ). Nicholas Constant, Debanjan Borthakur, Mohammadreza Abtahi, Harishchandra Dubey, and Kunal Mankodiya. 2017. Fog-assisted wiot: A smart fog gateway for end-to-end analytics in wearable internet of things. arXiv preprint arXiv:1701.08680 (2017)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2811780.2811957"},{"key":"e_1_3_2_1_10_1","volume-title":"Application & Services (HealthCom), 2015 17th International Conference on. IEEE, 528--533","author":"Dubey Harishchandra","year":"2015","unstructured":"Harishchandra Dubey , J Cody Goldberg , Kunal Mankodiya , and Leslie Mahler . 2015 . A multi-smartwatch system for assessing speech characteristics of people with dysarthria in group settings. In E-health Networking , Application & Services (HealthCom), 2015 17th International Conference on. IEEE, 528--533 . Harishchandra Dubey, J Cody Goldberg, Kunal Mankodiya, and Leslie Mahler. 2015. A multi-smartwatch system for assessing speech characteristics of people with dysarthria in group settings. In E-health Networking, Application & Services (HealthCom), 2015 17th International Conference on. IEEE, 528--533."},{"key":"e_1_3_2_1_11_1","volume-title":"Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on. IEEE, 78--83","author":"Dubey Harishchandra","year":"2016","unstructured":"Harishchandra Dubey , Matthias R Mehl , and Kunal Mankodiya . 2016 . Bigear: Inferring the ambient and emotional correlates from smartphone-based acoustic big data. In Connected Health: Applications , Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on. IEEE, 78--83 . Harishchandra Dubey, Matthias R Mehl, and Kunal Mankodiya. 2016. Bigear: Inferring the ambient and emotional correlates from smartphone-based acoustic big data. In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on. IEEE, 78--83."},{"volume-title":"Handbook of Large-Scale Distributed Computing in Smart Healthcare","author":"Dubey Harishchandra","key":"e_1_3_2_1_12_1","unstructured":"Harishchandra Dubey , Admir Monteiro , Nicholas Constant , Mohammadreza Abtahi , Debanjan Borthakur , Leslie Mahler , Yan Sun , Qing Yang , Umer Akbar , and Kunal Mankodiya . 2017. Fog computing in medical internet-of-things: architecture, implementation, and applications . In Handbook of Large-Scale Distributed Computing in Smart Healthcare . Springer , 281--321. Harishchandra Dubey, Admir Monteiro, Nicholas Constant, Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler, Yan Sun, Qing Yang, Umer Akbar, and Kunal Mankodiya. 2017. Fog computing in medical internet-of-things: architecture, implementation, and applications. In Handbook of Large-Scale Distributed Computing in Smart Healthcare. Springer, 281--321."},{"volume-title":"2016 MIT Conference on Health Informatics.","author":"Matt","key":"e_1_3_2_1_13_1","unstructured":"Matt Constant et al. 2016. Smartwatch-driven Multisensory Recorder: Design and testing of a smartwatch-based framework to support psychiatric disorders . In 2016 MIT Conference on Health Informatics. Matt Constant et al. 2016. Smartwatch-driven Multisensory Recorder: Design and testing of a smartwatch-based framework to support psychiatric disorders. In 2016 MIT Conference on Health Informatics."},{"volume-title":"The elements of statistical learning","author":"Hastie Trevor","key":"e_1_3_2_1_14_1","unstructured":"Trevor Hastie , Robert Tibshirani , and Jerome Friedman . 2009. Unsupervised learning . In The elements of statistical learning . Springer , 485--585. Trevor Hastie, Robert Tibshirani, and Jerome Friedman. 2009. Unsupervised learning. In The elements of statistical learning. Springer, 485--585."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobihealth.2014.257440"},{"key":"e_1_3_2_1_16_1","volume-title":"PACRIM. 2005 IEEE Pacific Rim Conference on. IEEE, 424--427","author":"Kapur Ajay","year":"2005","unstructured":"Ajay Kapur , Eric L Yang , Adam R Tindale , and Peter F Driessen . 2005 . Wearable sensors for real-time musical signal processing. In Communications, Computers and signal Processing, 2005 . PACRIM. 2005 IEEE Pacific Rim Conference on. IEEE, 424--427 . Ajay Kapur, Eric L Yang, Adam R Tindale, and Peter F Driessen. 2005. Wearable sensors for real-time musical signal processing. In Communications, Computers and signal Processing, 2005. PACRIM. 2005 IEEE Pacific Rim Conference on. IEEE, 424--427."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2013.85"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1155\/S1110865704406192"},{"key":"e_1_3_2_1_19_1","volume-title":"Motor Speech Conference, Madonna Rehabilitation Hospital.","author":"Mahler Leslie","year":"2016","unstructured":"Leslie Mahler , Harishchandra Dubey , Jon Cody Goldberg , and Kunal Mankodiya . 2016 . Use of smartwatch technology for people with dysarthria . In Motor Speech Conference, Madonna Rehabilitation Hospital. Leslie Mahler, Harishchandra Dubey, Jon Cody Goldberg, and Kunal Mankodiya. 2016. Use of smartwatch technology for people with dysarthria. In Motor Speech Conference, Madonna Rehabilitation Hospital."},{"key":"e_1_3_2_1_20_1","volume-title":"K-means and traditional hierarchical clustering algorithms. European journal of operational research 174, 3","author":"Mingoti Sueli A","year":"2006","unstructured":"Sueli A Mingoti and Joab O Lima . 2006. Comparing SOM neural network with Fuzzy c-means , K-means and traditional hierarchical clustering algorithms. European journal of operational research 174, 3 ( 2006 ), 1742--1759. Sueli A Mingoti and Joab O Lima. 2006. Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms. European journal of operational research 174, 3 (2006), 1742--1759."},{"key":"e_1_3_2_1_21_1","volume-title":"Fit: A fog computing device for speech tele-treatments","author":"Monteiro Admir","year":"2016","unstructured":"Admir Monteiro , Harishchandra Dubey , Leslie Mahler , Qing Yang , and Kunal Mankodiya . 2016 . Fit: A fog computing device for speech tele-treatments . In IEEE Smart Computing (SMARTCOMP) . Admir Monteiro, Harishchandra Dubey, Leslie Mahler, Qing Yang, and Kunal Mankodiya. 2016. Fit: A fog computing device for speech tele-treatments. In IEEE Smart Computing (SMARTCOMP)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.07.006"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJGHPC.2018070101"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.NNN.0000470763.57000.87"}],"event":{"name":"CHASE '18: ACM\/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies","sponsor":["SIGBED ACM Special Interest Group on Embedded Systems","IEEE-CS\\DATC IEEE Computer Society"],"location":"Washington DC","acronym":"CHASE '18"},"container-title":["Proceedings of the 2018 IEEE\/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3278576.3278599","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3278576.3278599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:52Z","timestamp":1750212472000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3278576.3278599"}},"subtitle":["smartwatch-based unsupervised learning for multi-modal signal analysis in opportunistic sensing framework"],"short-title":[],"issued":{"date-parts":[[2018,9,26]]},"references-count":24,"alternative-id":["10.1145\/3278576.3278599","10.1145\/3278576"],"URL":"https:\/\/doi.org\/10.1145\/3278576.3278599","relation":{},"subject":[],"published":{"date-parts":[[2018,9,26]]},"assertion":[{"value":"2020-01-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}