{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T04:09:27Z","timestamp":1768622967029,"version":"3.49.0"},"publisher-location":"Cham","reference-count":45,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030649906","type":"print"},{"value":"9783030649913","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-64991-3_11","type":"book-chapter","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T17:10:10Z","timestamp":1607965810000},"page":"153-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Activity Monitoring Using Smart Glasses: Exploring the Feasibility of Pedometry on Head Mounted Displays"],"prefix":"10.1007","author":[{"given":"Zhiquan","family":"You","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farnaz","family":"Mohammadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emily","family":"Pascua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Kale","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abraham","family":"Vega","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gian","family":"Tolentino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Angeles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Navid","family":"Amini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,15]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Park, Y., Yun, S., Kim, K.H.: When IoT met augmented reality: Visualizing the source of the wireless signal in AR view. In: MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp. 117\u2013129 (2019)","DOI":"10.1145\/3307334.3326079"},{"key":"11_CR2","unstructured":"Level Smartglasses by VSP Global. https:\/\/appadvice.com\/app\/level-smart-glasses\/1336625786. Accessed 01 Aug 2020"},{"key":"11_CR3","unstructured":"Vue Glasses by Vigo Technologies Inc. https:\/\/www.vueglasses.com\/. Accessed 01 Aug 2020"},{"key":"11_CR4","unstructured":"GlassUp F4 AR Smartglasses. https:\/\/www.glassup.com\/en\/f4\/. Accessed 01 Oct 2020"},{"key":"11_CR5","unstructured":"MAD Gaze Smartglasses. https:\/\/www.madgaze.com\/. Accessed 01 Aug 2020"},{"key":"11_CR6","unstructured":"abEye Smart Eyewear. https:\/\/www.abeye.tech\/. Accessed 01 Aug 2020"},{"key":"11_CR7","unstructured":"Ellcie\u2019s Smartglasses. https:\/\/ellcie-healthy.com\/en\/home\/. Accessed 01 Aug 2020"},{"key":"11_CR8","unstructured":"eSight by eSight Corp. https:\/\/esighteyewear.com\/. Accessed 01 July 2020"},{"key":"11_CR9","unstructured":"OrCam MyEye 2.0. https:\/\/www.orcam.com\/en\/myeye2\/. Accessed 01 Aug 2020"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Amini, N., et al.: Design and evaluation of a wearable assistive technology for hemianopic stroke patients. In: Proceedings of the 2020 International Symposium on Wearable Computers, pp. 7\u201311 (2020)","DOI":"10.1145\/3410531.3414296"},{"issue":"3","key":"11_CR11","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1080\/03091902.2018.1470692","volume":"42","author":"MB Rhudy","year":"2018","unstructured":"Rhudy, M.B., Mahoney, J.M.: A comprehensive comparison of simple step counting techniques using wrist- and ankle-mounted accelerometer and gyroscope signals. J. Med. Eng. Technol. 42(3), 236\u2013243 (2018)","journal-title":"J. Med. Eng. Technol."},{"issue":"4","key":"11_CR12","doi-asserted-by":"publisher","first-page":"2296","DOI":"10.1109\/JSEN.2014.2377193","volume":"15","author":"MS Pan","year":"2014","unstructured":"Pan, M.S., Lin, H.W.: A step counting algorithm for smartphone users: design and implementation. IEEE Sens. J. 15(4), 2296\u20132305 (2014)","journal-title":"IEEE Sens. J."},{"issue":"3","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.1109\/JSEN.2014.2363157","volume":"15","author":"H Zhang","year":"2015","unstructured":"Zhang, H., Yuan, W., Shen, Q., Li, T., Chang, H.: A handheld inertial pedestrian navigation system with accurate step modes and device poses recognition. IEEE Sens. J. 15(3), 1421\u20131429 (2015)","journal-title":"IEEE Sens. J."},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Park, S.Y., Heo, S.J., Park, C.G.: Accelerometer-based smartphone step detection using machine learning technique. In: International Electrical Engineering Congress, iEECON 2017, pp. 1\u20134 (2017)","DOI":"10.1109\/IEECON.2017.8075875"},{"issue":"1\u20132","key":"11_CR15","doi-asserted-by":"publisher","first-page":"273","DOI":"10.5081\/jgps.3.1.273","volume":"3","author":"JW Kim","year":"2004","unstructured":"Kim, J.W., Jang, H.J., Hwang, D.H., Park, C.: A step, stride and heading determination for the pedestrian navigation system. J. Glob. Position. Syst. 3(1\u20132), 273\u2013279 (2004)","journal-title":"J. Glob. Position. Syst."},{"issue":"10","key":"11_CR16","doi-asserted-by":"publisher","first-page":"2858","DOI":"10.3390\/s20102858","volume":"20","author":"T Rantalainen","year":"2020","unstructured":"Rantalainen, T., Karavirta, L., Pirkola, H., Rantanen, T., Linnamo, V.: Gait variability using waist-and ankle-worn inertial measurement units in healthy older adults. Sensors 20(10), 2858 (2020)","journal-title":"Sensors"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Saeedi, R., Amini, N., Ghasemzadeh, H.: Patient-centric on-body sensor localization in smart health systems. In: 2014 48th Asilomar Conference on Signals, Systems and Computers, pp. 2081\u20132085 (2015)","DOI":"10.1109\/ACSSC.2014.7094840"},{"issue":"6","key":"11_CR18","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1002\/wcm.852","volume":"11","author":"N Amini","year":"2011","unstructured":"Amini, N., Vahdatpour, A., Dabiri, F., Noshadi, H., Sarrafzadeh, M.: Joint consideration of energy-efficiency and coverage-preservation in microsensor networks. Wirel. Commun. Mob. Comput. 11(6), 707\u2013722 (2011)","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Amini, N., Miremadi, S.G., Fazeli, M.: A hierarchical routing protocol for energy load balancing in wireless sensor networks. In: Canadian Conference on Electrical and Computer Engineering, pp. 1086\u20131089 (2007)","DOI":"10.1109\/CCECE.2007.277"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Brajdic, A., Harle, R.: Walk detection and step counting on unconstrained smartphones. In: UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 225\u2013234 (2013)","DOI":"10.1145\/2493432.2493449"},{"issue":"5","key":"11_CR21","first-page":"675","volume":"4","author":"NZ Naqvib","year":"2012","unstructured":"Naqvib, N.Z., Kumar, A., Chauhan, A., Sahni, K.: Step counting using smartphone-based accelerometer. Int. J. Comput. Sci. Eng. 4(5), 675 (2012)","journal-title":"Int. J. Comput. Sci. Eng."},{"issue":"2","key":"11_CR22","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1109\/TNSRE.2014.2365548","volume":"23","author":"S Crea","year":"2015","unstructured":"Crea, S., Cipriani, C., Donati, M., Carrozza, M.C., Vitiello, N.: Providing time-discrete gait information by wearable feedback apparatus for lower-limb amputees: usability and functional validation. IEEE Trans. Neural Syst. Rehabil. Eng. 23(2), 250\u2013257 (2015)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"5","key":"11_CR23","doi-asserted-by":"publisher","first-page":"984","DOI":"10.3390\/s19050984","volume":"19","author":"AM Ngueleu","year":"2019","unstructured":"Ngueleu, A.M., et al.: Design and accuracy of an instrumented insole using pressure sensors for step count. Sensors 19(5), 984 (2019)","journal-title":"Sensors"},{"issue":"7","key":"11_CR24","doi-asserted-by":"publisher","first-page":"1303","DOI":"10.1007\/s40279-016-0663-1","volume":"47","author":"DR Bassett","year":"2016","unstructured":"Bassett, D.R., Toth, L.P., LaMunion, S.R., Crouter, S.E.: Step counting: a review of measurement considerations and health-related applications. Sports Med. 47(7), 1303\u20131315 (2016)","journal-title":"Sports Med."},{"issue":"10","key":"11_CR25","doi-asserted-by":"publisher","first-page":"3186","DOI":"10.3390\/s18103186","volume":"18","author":"VT Pham","year":"2018","unstructured":"Pham, V.T., Nguyen, D.A., Dang, N.D., Pham, H.H., Tran, V.A., Sandrasegaran, K., Tran, D.T.: Highly accurate step counting at variouswalking states using low-cost inertial measurement unit support indoor positioning system. Sensors 18(10), 3186 (2018)","journal-title":"Sensors"},{"key":"11_CR26","doi-asserted-by":"publisher","first-page":"13028","DOI":"10.1109\/ACCESS.2017.2702066","volume":"5","author":"V Genovese","year":"2017","unstructured":"Genovese, V., Mannini, A., Sabatini, A.M.: A smartwatch step counter for slow and intermittent ambulation. IEEE Access 5, 13028\u201313037 (2017)","journal-title":"IEEE Access"},{"key":"11_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, X., Xu, W., Huang, M.C., Amini, N., Ren, F.: See UV on your skin: an ultraviolet sensing and visualization system. In: Proceedings of the 8th International Conference on Body Area Networks, pp. 22\u201328 (2013)","DOI":"10.4108\/icst.bodynets.2013.253701"},{"issue":"6","key":"11_CR28","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1001\/jama.2014.17841","volume":"313","author":"MA Case","year":"2015","unstructured":"Case, M.A., Burwick, H.A., Volpp, K.G., Patel, M.S.: Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA \u2013 J. Am. Med. Assoc. 313(6), 625\u2013626 (2015)","journal-title":"JAMA \u2013 J. Am. Med. Assoc."},{"key":"11_CR29","doi-asserted-by":"publisher","first-page":"13020","DOI":"10.1109\/ACCESS.2017.2721098","volume":"5","author":"L Wang","year":"2017","unstructured":"Wang, L., Liu, T., Wang, Y., Li, Q., Yi, J., Inoue, Y.: Evaluation on step counting performance of wristband activity monitors in daily living environment. IEEE Access 5, 13020\u201313027 (2017)","journal-title":"IEEE Access"},{"issue":"10","key":"11_CR30","doi-asserted-by":"publisher","first-page":"27230","DOI":"10.3390\/s151027230","volume":"15","author":"HH Lee","year":"2015","unstructured":"Lee, H.H., Choi, S., Lee, M.J.: Step detection robust against the dynamics of smartphones. Sensors 15(10), 27230\u201327250 (2015)","journal-title":"Sensors"},{"key":"11_CR31","doi-asserted-by":"crossref","unstructured":"Abadleh, A., Al-Hawari, E., Alkafaween, E.A., Al-Sawalqah, H.: Step detection algorithm for accurate distance estimation using dynamic step length. In: Proceedings - 18th IEEE International Conference on Mobile Data Management, MDM, pp. 324\u2013327 (2017)","DOI":"10.1109\/MDM.2017.52"},{"issue":"1","key":"11_CR32","doi-asserted-by":"publisher","first-page":"297","DOI":"10.3390\/s18010297","volume":"18","author":"X Kang","year":"2018","unstructured":"Kang, X., Huang, B., Qi, G.: A novel walking detection and step counting algorithm using unconstrained smartphones. Sensors 18(1), 297 (2018)","journal-title":"Sensors"},{"issue":"4","key":"11_CR33","doi-asserted-by":"publisher","first-page":"588","DOI":"10.3390\/a5040588","volume":"5","author":"F Scholkmann","year":"2012","unstructured":"Scholkmann, F., Boss, J., Wolf, M.: An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals. Algorithms 5(4), 588\u2013603 (2012)","journal-title":"Algorithms"},{"key":"11_CR34","doi-asserted-by":"crossref","unstructured":"Caserman, P., Krabbe, P., Wojtusch, J., von Stryk, O.: Real-time step detection using the integrated sensors of a head-mounted display. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, pp. 003510\u2013003515 (2017)","DOI":"10.1109\/SMC.2016.7844777"},{"issue":"9","key":"11_CR35","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1109\/JSEN.2010.2045498","volume":"10","author":"A Burns","year":"2010","unstructured":"Burns, A., et al.: SHIMMERTM - a wireless sensor platform for noninvasive biomedical research. IEEE Sens. J. 10(9), 1527\u20131534 (2010)","journal-title":"IEEE Sens. J."},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"Apostolopoulos, I., Coming, D.S., Folmer, E.: Accuracy of pedometry on a head-mounted display. In: Conference on Human Factors in Computing Systems - Proceedings, pp. 2153\u20132156 (2015)","DOI":"10.1145\/2702123.2702143"},{"key":"11_CR37","unstructured":"Amini, N.: Transmission Power Management for Wireless Health Applications. UCLA Electron. Theses Diss. (2012)"},{"key":"11_CR38","doi-asserted-by":"crossref","unstructured":"Mertens, C., Grenez, F., Schoentgen, J.: Speech sample salience analysis for speech cycle detection. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (2009)","DOI":"10.21437\/Interspeech.2009-281"},{"issue":"11","key":"11_CR39","doi-asserted-by":"publisher","first-page":"4815","DOI":"10.1167\/iovs.16-19648","volume":"57","author":"A Miraftabi","year":"2016","unstructured":"Miraftabi, A., et al.: Macular SD-OCT outcome measures: comparison of local structure-function relationships and dynamic range. Investig. Ophthalmol. Vis. Sci. 57(11), 4815\u20134823 (2016)","journal-title":"Investig. Ophthalmol. Vis. Sci."},{"issue":"10","key":"11_CR40","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1136\/bjsm.2008.048827","volume":"44","author":"B Ewald","year":"2010","unstructured":"Ewald, B., McEvoy, M., Attia, J.: Pedometer counts superior to physical activity scale for identifying health markers in older adults. Br. J. Sports Med. 44(10), 756\u2013761 (2010)","journal-title":"Br. J. Sports Med."},{"key":"11_CR41","unstructured":"Vahdatpour, A., Amini, N., Sarrafzadeh, M.: Toward unsupervised activity discovery using multi-dimensional motif detection in time series. In: IJCAI International Joint Conference on Artificial Intelligence (2009)"},{"key":"11_CR42","unstructured":"Ilkovi\u010dov\u00e1, \u013d., Kaj\u00e1nek, P., Kop\u00e1\u010dik, A.: Pedestrian indoor positioning and tracking using smartphone sensors, step detection and map matching algorithm. In: International Symposium on Engineering Geodesy pp. 20\u201322 (2016)"},{"key":"11_CR43","doi-asserted-by":"crossref","unstructured":"Flores, G.H., Manduchi, R.: WeAllWalk: an annotated dataset of inertial sensor time series from blind walkers. In: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility - ASSETS 2016, vol. 11, no. 1, pp. 1\u201328 (2016)","DOI":"10.1145\/3161711"},{"key":"11_CR44","doi-asserted-by":"crossref","unstructured":"Chan, C.W., Rudins, A.: Foot biomechanics during walking and running. In: Mayo Clinic Proceedings, vol. 69, no. 5, pp. 448\u2013461. Elsevier (1994)","DOI":"10.1016\/S0025-6196(12)61642-5"},{"key":"11_CR45","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.jelekin.2017.11.010","volume":"38","author":"A Maslivec","year":"2018","unstructured":"Maslivec, A., Bampouras, T.M., Dewhurst, S., Vannozzi, G., Macaluso, A., Laudani, L.: Mechanisms of head stability during gait initiation in young and older women: a neuro-mechanical analysis. J. Electromyogr. Kinesiol. 38, 103\u2013110 (2018)","journal-title":"J. Electromyogr. Kinesiol."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Body Area Networks. Smart IoT and Big Data for Intelligent Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-64991-3_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T21:28:55Z","timestamp":1670189335000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-64991-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030649906","9783030649913"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-64991-3_11","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"15 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BODYNETS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EAI International Conference on Body Area Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tallinn","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Estonia","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":"21 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bodynets2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bodynets.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":"ConfyPlus EAI","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","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":"15","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":"50% - 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","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","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)"}}]}}