Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Empirical Study of Soft Clustering Technique for Determining Click Through Rate in Online Advertising Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Analyzing the Detectability of Harmful Postures for Patient with Hip Prosthesis Based on a Single Accelerometer in Mobile Phone

Authors : Kitti Naonueng, Opas Chutatape, Rong Phoophuangpairoj

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This research studies the use of a single accelerometer inside a smartphone as a sensor to detect those postures that may be risks for patients with hip surgery to dislocate their joints. Various postures were analyzed using Euclidean distances to determine the feasibility to detect eight postures that were harmful. With the mobile phone attached to the affected upper leg, it was found that there was one harmful posture that could not be detected due to its close similarity with a normal posture. Meanwhile, the other two harmful postures, although indistinguishable based on their measured data, were still detectable with the suitably selected threshold. The distance measure analysis is useful as an indicator as to which posture will be near to missing out in the detection process. This will form a guideline for further design of a practical and more robust detecting system.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter An Approach: Applicability of Existing Heterogeneous Multicore Real-Time Task Scheduling in Commercially Available Heterogeneous Multicore Systems
next chapter Software Development Process Evolution in Malaysian Companies
Literature
1.
2.
Muro-de-la-Herran, A., Garcia-Zapirain, B., Mendez-Zorrilla, A.: Gait analysis methods: an overview of wearable and non-wearable systems. Highlighting Clin. Appl. Sens. 14(2), 3362–3394 (2014)
3.
Noury, N., Fleury, A., Rumeau, P., Bourke, A. K., Rialle, V., Lundy, J.E.: Fall detection: principles and methods. In: Proceedings of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBS), pp. 1663–1666 (2007)
4.
Brezmes, T., Gorricho, J.-L., Cotrina, J.: Activity Recognition from Accelerometer Data on a Mobile Phone. Lecture Notes in Computer Science, vol. 5518, pp. 796–799. Springer, Berlin (2009)
5.
Krishnan, N., Panchanathan, S.: Analysis of low resolution accelerometer data for continuous human activity recognition. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3337–3340 (2008)
6.
Long, X., Yin, B., Aarts, R.M.: Single accelerometer-based daily physical activity classification. In: Proceedings 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 6107–6110 (2009)
7.
Mannini, A., Sabatini, A.M.: Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors 10(2), 1154–1175 (2010)CrossRef
8.
Huda, F.A., Tolle, H., Putra, K.P.: Human activity recognition using single accelerometer on smartphone put on user’s head with head-mounted display. Int. J. Adv. Soft Comput. Appl. 9(3), 239–249 (2017)
9.
Mathie, M., Celler, B., Lovell, N., Coster, A.: Classification of basic daily movements using a triaxial accelerometer. Med. Biol. Eng. Comput. 42, 679–687 (2004)CrossRef
10.
Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. ACM SIGKDD Explor. Newsl. 12(2), 74–82 (2010)CrossRef
11.
Putra, I.P.R.S., Brusey, J., Gaura, E., Vesilo, R.: An event-triggered machine learning approach for accelerometer-based fall detection. Sensors 18(20), 1–18 (2017)
12.
13.
Khawandi, S., Daya, B., Chauvet, P.: Automated monitoring system for fall detection in the elderly. Int. J. Image Process. 4(5), 476–483 (2010)
14.
Phoophuangpairoj, R.: Frame-based analysis of knee extension exercises using a smartphone accelerometer. In: Proceedings of 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) (2016)
15.
Chutatape, O., Naonueng, K., Phoophuangpairoj, R.: Detection of dangerous postures leading to dislocation of hip prosthesis by a smartphone. In: Proceedings of 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (2017)
16.
17.
Phoophuangpairoj, R.: Developing an accelerometer-based mobile application to aid knee extension exercise. Int. J. Adv. Soft Comput. Appl. 10(2), 132–147 (2018)
Metadata
Title
Analyzing the Detectability of Harmful Postures for Patient with Hip Prosthesis Based on a Single Accelerometer in Mobile Phone
Authors
Kitti Naonueng
Opas Chutatape
Rong Phoophuangpairoj
Copyright Year
2020
Publisher
Springer Singapore
Book
Data Management, Analytics and Innovation

Print ISBN: 978-981-329-948-1

Electronic ISBN: 978-981-329-949-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-32-9949-8_9