{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T20:02:35Z","timestamp":1773172955903,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s42979-022-01091-3","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T11:03:42Z","timestamp":1650452622000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["CNN for Elderly Wandering Prediction in Indoor Scenarios"],"prefix":"10.1007","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0346-3073","authenticated-orcid":false,"given":"Rafael","family":"Oliveira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Feres","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Barreto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raphael","family":"Abreu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"1091_CR1","unstructured":"Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado G.S, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Man\u00e9 D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Vi\u00e9gas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X. TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow.org. 2015."},{"key":"1091_CR2","doi-asserted-by":"publisher","unstructured":"Akbar MF, Putrada AG, Abdurohman M. Smart light recommending system using artificial neural network algorithm. In: 2019 7th International conference on information and communication technology (ICoICT). IEEE; 2019. p. 1\u20135. https:\/\/doi.org\/10.1109\/ICoICT.2019.8835192","DOI":"10.1109\/ICoICT.2019.8835192"},{"key":"1091_CR3","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/j.cogsys.2019.10.002","volume":"59","author":"J Amin","year":"2020","unstructured":"Amin J, Sharif M, Anjum MA, Raza M, Bukhari SAC. Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI. Cogn Syst Res. 2020;59:304\u201311.","journal-title":"Cogn Syst Res"},{"issue":"2","key":"1091_CR4","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s10916-019-1483-2","volume":"44","author":"J Amin","year":"2020","unstructured":"Amin J, Sharif M, Gul N, Raza M, Anjum MA, Nisar MW, Bukhari SAC. Brain tumor detection by using stacked autoencoders in deep learning. J Med Syst. 2020;44(2):32.","journal-title":"J Med Syst"},{"key":"1091_CR5","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.procs.2017.06.121","volume":"110","author":"D Arifoglu","year":"2017","unstructured":"Arifoglu D, Bouchachia A. Activity recognition and abnormal behaviour detection with recurrent neural networks. Procedia Comput Sci. 2017;110:86\u201393.","journal-title":"Procedia Comput Sci"},{"issue":"5","key":"1091_CR6","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1038\/nrneurol.2009.39","volume":"5","author":"CG Ballard","year":"2009","unstructured":"Ballard CG, Gauthier S, Cummings JL, Brodaty H, Grossberg GT, Robert P, Lyketsos CG. Management of agitation and aggression associated with Alzheimer disease. Nat Rev Neurol. 2009;5(5):245.","journal-title":"Nat Rev Neurol"},{"issue":"3","key":"1091_CR7","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1159\/000511416","volume":"10","author":"C Boutoleau-Bretonni\u00e8re","year":"2020","unstructured":"Boutoleau-Bretonni\u00e8re C, Pouclet-Courtemanche H, Gillet A, Bernard A, Deruet A-L, Gouraud I, Lamy E, Mazou\u00e9 A, Rocher L, Bretonni\u00e8re C, et al. Impact of confinement on the burden of caregivers of patients with the behavioral variant of frontotemporal dementia and Alzheimer disease during the COVID-19 crisis in France. Dement Geriatr Cogn Disord Extra. 2020;10(3):127\u201334.","journal-title":"Dement Geriatr Cogn Disord Extra"},{"key":"1091_CR8","volume-title":"Deep learning with Python","author":"F Chollet","year":"2017","unstructured":"Chollet F. Deep learning with Python. 1st ed. Shelter Island: Manning Publications Co.; 2017.","edition":"1"},{"key":"1091_CR9","unstructured":"Chollet F. et al. Keras: the Python deep learning library. 2018. Library available at https:\/\/keras.io\/. Accessed 28 Mar 2022."},{"issue":"01","key":"1091_CR10","doi-asserted-by":"publisher","first-page":"76","DOI":"10.3414\/ME9104","volume":"47","author":"KL Courtney","year":"2008","unstructured":"Courtney KL. Privacy and senior willingness to adopt smart home information technology in residential care facilities. Methods Inf Med. 2008;47(01):76\u201381.","journal-title":"Methods Inf Med"},{"key":"1091_CR11","unstructured":"Delaunay A, Gu\u00e9rin J. Wandering detection within an embedded system for Alzheimer suffering patients. In: 2017 AAAI spring symposium series; 2017. https:\/\/www.aaai.org\/ocs\/index.php\/SSS\/SSS17\/paper\/view\/15317 of subordinate document. Accessed 28 Mar 2022."},{"key":"1091_CR12","doi-asserted-by":"crossref","unstructured":"Doughty K, Williams G, King P, Woods R. Diana-a telecare system for supporting dementia sufferers in the community. In: Proceedings of the 20th annual international conference of the IEEE engineering in medicine and biology society, vol. 20. Biomedical engineering towards the year 2000 and beyond (Cat. No. 98CH36286), vol. 4. IEEE; 1998. p. 1980\u20131983.","DOI":"10.1109\/IEMBS.1998.746991"},{"key":"1091_CR13","doi-asserted-by":"crossref","unstructured":"Gadde R, Jampani V, Kiefel M, Kappler D, Gehler PV. Superpixel convolutional networks using bilateral inceptions. In: European conference on computer vision. Berlin: Springer; 2016. p. 597\u2013613.","DOI":"10.1007\/978-3-319-46448-0_36"},{"key":"1091_CR14","doi-asserted-by":"publisher","unstructured":"Gemmeke JF, Ellis DPW, Freedman D, Jansen A, Lawrence W, Moore RC, Plakal M, Ritter M. Audio set: an ontology and human-labeled dataset for audio events. In: Proc. IEEE ICASSP 2017, New Orleans, LA; 2017. https:\/\/doi.org\/10.1109\/ICASSP.2017.7952261.","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"1091_CR15","doi-asserted-by":"publisher","unstructured":"Ghosh S, Chaudhury KN. Color bilateral filtering using stratified Fourier sampling. In: 2018 IEEE global conference on signal and information processing (GlobalSIP). IEEE; 2018. p. 26\u201330. https:\/\/doi.org\/10.1109\/GlobalSIP.2018.8646671.","DOI":"10.1109\/GlobalSIP.2018.8646671"},{"issue":"10","key":"1091_CR16","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1109\/LSP.2018.2866949","volume":"25","author":"S Ghosh","year":"2018","unstructured":"Ghosh S, Nair P, Chaudhury KN. Optimized Fourier bilateral filtering. IEEE Signal Process Lett. 2018;25(10):1555\u20139.","journal-title":"IEEE Signal Process Lett"},{"key":"1091_CR17","volume-title":"Hands-on machine learning with scikit-learn and TensorFlow: concepts, tools, and techniques to build intelligent systems","author":"A Gron","year":"2017","unstructured":"Gron A. Hands-on machine learning with scikit-learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. 1st ed. Newton: O\u2019Reilly Media, Inc.; 2017.","edition":"1"},{"key":"1091_CR18","doi-asserted-by":"publisher","unstructured":"Han J, Haihong E, Le G, Du J. Survey on NoSQL database. In: 2011 6th International conference on pervasive computing and applications. IEEE; 2011. p. 363\u20136. https:\/\/doi.org\/10.1109\/ICPCA.2011.6106531.","DOI":"10.1109\/ICPCA.2011.6106531"},{"key":"1091_CR19","unstructured":"Karimi K, Atkinson G. What the internet of things (IoT) needs to become a reality. White Paper, FreeScale and ARM; 2013. p. 1\u201316."},{"issue":"6","key":"1091_CR20","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1016\/j.jalz.2018.02.004","volume":"14","author":"SS Khan","year":"2018","unstructured":"Khan SS, Ye B, Taati B, Mihailidis A. Detecting agitation and aggression in people with dementia using sensors\u2014a systematic review. Alzheimers Dement. 2018;14(6):824\u201332.","journal-title":"Alzheimers Dement"},{"key":"1091_CR21","doi-asserted-by":"publisher","unstructured":"Li J, Dai W, Metze F, Qu S, Das S. A comparison of deep learning methods for environmental sound detection. In: 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP); 2017. p. 126\u201330. https:\/\/doi.org\/10.1109\/ICASSP.2017.7952131.","DOI":"10.1109\/ICASSP.2017.7952131"},{"issue":"13","key":"1091_CR22","doi-asserted-by":"publisher","first-page":"265","DOI":"10.21105\/joss.00265","volume":"2","author":"RA Light","year":"2017","unstructured":"Light RA. Mosquitto: server and client implementation of the MQTT protocol. J Open Source Softw. 2017;2(13):265.","journal-title":"J Open Source Softw"},{"issue":"2","key":"1091_CR23","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.ijge.2013.08.007","volume":"8","author":"Q Lin","year":"2014","unstructured":"Lin Q, Zhang D, Chen L, Ni H, Zhou X. Managing elders\u2019 wandering behavior using sensors-based solutions: a survey. Int J Gerontol. 2014;8(2):49\u201355.","journal-title":"Int J Gerontol"},{"key":"1091_CR24","doi-asserted-by":"publisher","unstructured":"Lin Q, Zhang D, Huang X, Ni H, Zhou X. Detecting wandering behavior based on GPS traces for elders with dementia. In: 2012 12th International conference on control automation robotics and vision (ICARCV). IEEE; 2012. p. 672\u20137. https:\/\/doi.org\/10.1109\/ICARCV.2012.6485238.","DOI":"10.1109\/ICARCV.2012.6485238"},{"issue":"5","key":"1091_CR25","doi-asserted-by":"publisher","first-page":"666","DOI":"10.1093\/geront\/31.5.666","volume":"31","author":"D Martino-Saltzman","year":"1991","unstructured":"Martino-Saltzman D, Blasch BB, Morris RD, McNeal LW. Travel behavior of nursing home residents perceived as wanderers and nonwanderers. Gerontologist. 1991;31(5):666\u201372.","journal-title":"Gerontologist"},{"key":"1091_CR26","volume-title":"REST API design rulebook: designing consistent RESTful web service interfaces","author":"M Masse","year":"2011","unstructured":"Masse M. REST API design rulebook: designing consistent RESTful web service interfaces. Newton: O\u2019Reilly Media, Inc.; 2011."},{"key":"1091_CR27","doi-asserted-by":"publisher","unstructured":"Oliveira R, Barreto F, Abreu R. Convolutional neural network for elderly wandering prediction in indoor scenarios. In: Proceedings of the 14th international joint conference on biomedical engineering systems and technologies\u2014HEALTHINF. INSTICC, SciTePress; 2021. p. 253\u201360. https:\/\/doi.org\/10.5220\/0010379902530260.","DOI":"10.5220\/0010379902530260"},{"key":"1091_CR28","volume-title":"A systematic evidence review of non-pharmacological interventions for behavioral symptoms of dementia","author":"ME O\u2019Neil","year":"2011","unstructured":"O\u2019Neil ME, Freeman M, Christensen V, Telerant R, Addleman A, Kansagara D, et al. A systematic evidence review of non-pharmacological interventions for behavioral symptoms of dementia. Washington, DC: Department of Veterans Affairs; 2011."},{"key":"1091_CR29","doi-asserted-by":"publisher","unstructured":"Oniga S, S\u00fct\u0151 J. Human activity recognition using neural networks. In: Proceedings of the 2014 15th international Carpathian control conference (ICCC). IEEE; 2014. p. 403\u20136. https:\/\/doi.org\/10.1109\/CarpathianCC.2014.6843636.","DOI":"10.1109\/CarpathianCC.2014.6843636"},{"issue":"1","key":"1091_CR30","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3390\/s16010115","volume":"16","author":"FJ Ord\u00f3\u00f1ez","year":"2016","unstructured":"Ord\u00f3\u00f1ez FJ, Roggen D. Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors. 2016;16(1):115.","journal-title":"Sensors"},{"issue":"2","key":"1091_CR31","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.pmcj.2006.07.002","volume":"3","author":"VT Pham","year":"2007","unstructured":"Pham VT, Qiu Q, Wai AAP, Biswas J. Application of ultrasonic sensors in a smart environment. Pervasive Mob Comput. 2007;3(2):180\u2013207.","journal-title":"Pervasive Mob Comput"},{"key":"1091_CR32","doi-asserted-by":"publisher","unstructured":"Piczak KJ. Environmental sound classification with convolutional neural networks. In: 2015 IEEE 25th international workshop on machine learning for signal processing (MLSP); 2015. p. 1\u20136. https:\/\/doi.org\/10.1109\/MLSP.2015.7324337.","DOI":"10.1109\/MLSP.2015.7324337"},{"issue":"2","key":"1091_CR33","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1108\/IJPCC-02-2017-0015","volume":"13","author":"R Radziszewski","year":"2017","unstructured":"Radziszewski R, Ngankam HK, Gr\u00e9goire V, Lorrain D, Pigot H, Giroux S. Designing calm and non-intrusive ambient assisted living system for monitoring nighttime wanderings. Int J Pervasive Comput Commun. 2017;13(2):114\u201329.","journal-title":"Int J Pervasive Comput Commun"},{"issue":"4","key":"1091_CR34","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/MC.2012.132","volume":"45","author":"C Severance","year":"2012","unstructured":"Severance C. Discovering javascript object notation. Computer. 2012;45(4):6\u20138.","journal-title":"Computer"},{"key":"1091_CR35","doi-asserted-by":"publisher","DOI":"10.1201\/9781439865521","volume-title":"Fundamentals of computer graphics","author":"P Shirley","year":"2009","unstructured":"Shirley P, Marschner S. Fundamentals of computer graphics. 3rd ed. Natick: A. K. Peters, Ltd.; 2009.","edition":"3"},{"key":"1091_CR36","doi-asserted-by":"publisher","unstructured":"Singh NA, Borschbach M. Effect of external factors on accuracy of distance measurement using ultrasonic sensors. In: 2017 International conference on signals and systems (ICSigSys); 2017. p. 266\u201371. https:\/\/doi.org\/10.1109\/ICSIGSYS.2017.7967054.","DOI":"10.1109\/ICSIGSYS.2017.7967054"},{"issue":"1","key":"1091_CR37","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R. Dropout: a simple way to prevent neural networks from overfitting. J Mach Learn Res. 2014;15(1):1929\u201358.","journal-title":"J Mach Learn Res"},{"key":"1091_CR38","unstructured":"Talathi SS, Vartak A. Improving performance of recurrent neural network with ReLU nonlinearity. 2015. arXiv preprint; arxiv:1511.03771 of subordinate document. Accessed 28 Mar 2022."},{"issue":"1","key":"1091_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1532-5415.1988.tb03426.x","volume":"36","author":"L Teri","year":"1988","unstructured":"Teri L, Larson EB, Reifler BV. Behavioral disturbance in dementia of the Alzheimer\u2019s type. J Am Geriatr Soc. 1988;36(1):1\u20136.","journal-title":"J Am Geriatr Soc"},{"key":"1091_CR40","doi-asserted-by":"publisher","unstructured":"Vogado LH, Veras RM, Aires KR. \u201cLeukNet\u201d\u2014a model of convolutional neural network for the diagnosis of leukemia. In: Anais Estendidos do XXXIII conference on graphics, patterns and images. SBC; 2020. p. 119\u201325. https:\/\/doi.org\/10.5753\/sibgrapi.est.2020.12993.","DOI":"10.5753\/sibgrapi.est.2020.12993"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01091-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-022-01091-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01091-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T23:38:15Z","timestamp":1744155495000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-022-01091-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,20]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["1091"],"URL":"https:\/\/doi.org\/10.1007\/s42979-022-01091-3","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"value":"2662-995X","type":"print"},{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,20]]},"assertion":[{"value":"13 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"230"}}