Skip to main content
SpringerLink
Log in

Multi-function Electric Scooter Assistant System for Seniors

  • Conference paper
  • First Online:
6GN for Future Wireless Networks (6GN 2020)

Included in the following conference series:

  • 599 Accesses

Abstract

Many countries are moving towards an aging society. Many elderly people live alone, and they need to take themselves. The purpose of this article is to increase the safety when elderly people ride on a scooter alone. When an accident occurs, their family can clearly know the location of the accident and can record the entire accident process. This paper uses the IFTTT (If This Then That) system. When the accident occurs, IFTTT is used to send the location to the family LINE. The family can know the location of the elderly through remotely monitor the real-time behavior of the monitored person. Therefore, they can immediately understand the situation when the accident occurs. In addition, they can also know whether the elderly is riding the scooter through the pressure sensor. It can transmit GPS location immediately and start the camera to record.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Krishna, A.M., Tyagi, A.K.: Intrusion detection in intelligent transportation system and its applications using blockchain technology. In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (2020)

    Google Scholar 

  2. Rwibasira, M., Suchithra, R.: A survey paper on consensus algorithm of mobile-healthcare in blockchain network. In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (2020)

    Google Scholar 

  3. Marangappanavar, R.K., Kiran, M.: Inter-planetary file system enabled blockchain solution for securing healthcare records. In: 2020 Third ISEA Conference on Security and Privacy (2020)

    Google Scholar 

  4. Sahu, M.L., Atulkar, M., Ahirwal, M.K.: Comprehensive investigation on IoT based smart healthcare system. In: 2020 First International Conference on Power, Control and Computing Technologies (2020)

    Google Scholar 

  5. Yang, G., et al.: A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. IEEE Trans. Ind. Inf. 10(4), 1 (2014)

    Google Scholar 

  6. Islam, S.K., Fathy, A., Wang, Y., Kuhn, M., Mahfouz, M.: Hassle-free vitals. IEEE Microwave Mag. 15(7), S25–S33 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Finance, Providence University, Taichung, Taiwan

    Tzer-Long Chen

  2. Department of Fashion Business and Merchandising, Ling Tung University, Taichung, Taiwan

    Chien-Yun Chang

  3. Department of Information Management, National Penghu University of Science and Technology, Penghu, Taiwan

    Zhen-Yu Wu

  4. Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan

    Chia-Hui Liu

Authors
  1. Tzer-Long Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chien-Yun Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhen-Yu Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chia-Hui Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chia-Hui Liu .

Editor information

Editors and Affiliations

  1. College of Intelligence and Computing, Tianjin University, Tianjin, Tianjin, China

    Xiaofei Wang

  2. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada

    Victor C. M. Leung

  3. School of Computer Science and Technology, Tianjin University, Tianjin, Tianjin, China

    Keqiu Li

  4. University of Science and Technology, Beijing, China

    Haijun Zhang

  5. Shenzhen University, Shenzhen, China

    Xiping Hu

  6. National University of Defense Technology, Changsha, China

    Qiang Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, TL., Chang, CY., Wu, ZY., Liu, CH. (2020). Multi-function Electric Scooter Assistant System for Seniors. In: Wang, X., Leung, V.C.M., Li, K., Zhang, H., Hu, X., Liu, Q. (eds) 6GN for Future Wireless Networks. 6GN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-63941-9_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-63941-9_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63940-2

  • Online ISBN: 978-3-030-63941-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation