{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:29:45Z","timestamp":1742948985642,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030675134"},{"type":"electronic","value":"9783030675141"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67514-1_45","type":"book-chapter","created":{"date-parts":[[2021,1,30]],"date-time":"2021-01-30T19:02:34Z","timestamp":1612033354000},"page":"571-581","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Alarm System Based on BP Neural Network Algorithm for the Detection of Falls to Elderly Person"],"prefix":"10.1007","author":[{"given":"Wenhui","family":"Chen","sequence":"first","affiliation":[]},{"given":"Xueming","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Junfei","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhiyong","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Jianying","family":"Li","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,31]]},"reference":[{"issue":"8","key":"45_CR1","first-page":"90","volume":"2016","author":"C Jiang","year":"2016","unstructured":"Jiang, C.: An analysis of the present situation of population aging in China and the strategies and measures in the thirteenth five period. Globalization 2016(8), 90\u2013105 (2016)","journal-title":"Globalization"},{"issue":"12","key":"45_CR2","first-page":"1003","volume":"8","author":"H Zheng","year":"2013","unstructured":"Zheng, H., Ju, Y., Shen, D., et al.: Evaluation and prevention for falls in elder people: a leading cause of unintentional injuries. Chin. J. Stroke 8(12), 1003\u20131008 (2013)","journal-title":"Chin. J. Stroke"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Merrouche, F., Baha, N.: Depth camera based fall detection using human shape and movement, pp. 586\u2013590. IEEE (2017)","DOI":"10.1109\/SIPROCESS.2016.7888330"},{"key":"45_CR4","volume-title":"Research on Multimodal Feature Fusion for Human Fall Detection","author":"X Bingxia","year":"2015","unstructured":"Bingxia, X.: Research on Multimodal Feature Fusion for Human Fall Detection. Shandong University, Jinan (2015)"},{"key":"45_CR5","first-page":"570","volume":"4","author":"LIU Peng","year":"2014","unstructured":"Peng, L.I.U., Tancheng, L.U., Yuanyuan, L., et al.: MEMS tri-axial accelerometer based fall detection. Chin. J. Sens. Actuators 4, 570\u2013574 (2014)","journal-title":"Chin. J. Sens. Actuators"},{"issue":"1","key":"45_CR6","first-page":"37","volume":"8","author":"Y Cao","year":"2010","unstructured":"Cao, Y., Cai, W., Cheng, Y.: Body posture detection technology based on MEMS acceleration sensor. Nanotechnol. Precis. Eng. 8(1), 37\u201341 (2010)","journal-title":"Nanotechnol. Precis. Eng."},{"issue":"3","key":"45_CR7","first-page":"77","volume":"32","author":"Y Guo","year":"2018","unstructured":"Guo, Y., Ye, W.: A fall detection algorithm based on MPU6050 sensor. J. Hunan Ind. 32(3), 77\u201380 (2018)","journal-title":"J. Hunan Ind."},{"issue":"5","key":"45_CR8","first-page":"1450","volume":"32","author":"R Wang","year":"2012","unstructured":"Wang, R., Zhang, Y., Chen, J.: Design and implementation of fall detection system using tri-axis accelerometer. Comput. Appl. 32(5), 1450\u20131452 (2012)","journal-title":"Comput. Appl."},{"key":"45_CR9","first-page":"9","volume-title":"Design of Human Fall Detection System Based on Acceleration Sensor","author":"L He","year":"2016","unstructured":"He, L.: Design of Human Fall Detection System Based on Acceleration Sensor, pp. 9\u201312. College of Optoelectronic Engineering Chongqing University, Chongqing (2016)"},{"issue":"5","key":"45_CR10","first-page":"327","volume":"39","author":"L Liu","year":"2015","unstructured":"Liu, L., Zhen, D., Liu, X.: Design of mpu6050-based fall monitoring system for the elderly. Chin. J. Med. Dev. 39(5), 327\u2013330 (2015)","journal-title":"Chin. J. Med. Dev."},{"key":"45_CR11","first-page":"10","volume-title":"Study on the Fall Detection System of the Elderly","author":"J Luo","year":"2016","unstructured":"Luo, J.: Study on the Fall Detection System of the Elderly, pp. 10\u201311. Shanghai University of Engineering and Technology, Shanghai (2016)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","IoT as a Service"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67514-1_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T19:16:38Z","timestamp":1619291798000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67514-1_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030675134","9783030675141"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67514-1_45","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"31 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IoTaaS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Internet of Things as a Service","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iotaas2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iotaas.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy+","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"136","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"63","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"46% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.69","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to COVID-19 pandemic the conference was held virtually","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}