DOI QR코드

DOI QR Code

Motion Recognition of Mobile Phone for data sharing based on Google Cloud Message Service

Google 클라우드 메시지 서비스 기반의 데이터 공유를 위한 모바일 폰의 모션 인식

  • Received : 2018.08.22
  • Accepted : 2019.02.15
  • Published : 2019.02.28

Abstract

With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

모바일 폰의 급속한 확산으로 사용자들은 모바일 폰을 지속적으로 개인 활동에 연관시켜 활용하기 위해 많은 관심을 가지고 있다. 그리고 사용자들은 모바일 환경에서 더 쉽고, 간단하게 데이터를 공유(전송 및 수신), 저장하려는 요구가 증가하고 있다. 본 논문은 GCM 서비스를 기반으로 위치기반 서비스를 이용하여 일정한 거리에 위치한 다수의 사람들과 개인 정보 공유를 위해 모바일 폰의 모션 인식을 제안한다. 제안된 애플리케이션은 Android 운영 체제에서 실행되는 모바일 애플리케이션과 비동기적으로 통신할 수 있게 해주는 Google 클라우드 메시징을 기반으로 한다. 어디서나 모든 모바일 장치를 통해 개인 정보 공유를 쉽고, 간단하게, 실시간으로 액세스할 수 있으므로 경량 메커니즘의 요구 사항을 충족할 수 있다.

Keywords

KCTSAD_2019_v14n1_205_f0001.png 이미지

그림 1. 처리 절차 Fig. 1 Processing procedure

KCTSAD_2019_v14n1_205_f0002.png 이미지

그림 2. 초기 화면⦁정보 공유 요청 Fig. 2 Initial Screen ⦁Request InformationSharing

KCTSAD_2019_v14n1_205_f0003.png 이미지

그림 3. 정보 공유 리스트⦁개인 정보 저장 Fig. 3 Information Sharing List ⦁Save PersonalInformation

표 1. 모바일 모션 애플리케이션 모델의 분석 Table 1. Analysis of Mobile Motion Application Model

KCTSAD_2019_v14n1_205_t0001.png 이미지

References

  1. S. Wang, Z. Chen, Y. Chen, and K. Yu, "Motion detection based fine grained place extraction on mobile cellular phone," 2011 6th International Conference on Pervasive Computing and Applications, Port Elizabeth, South Africa, Oct. 2011, pp. 260-266.
  2. Y. Chuang, "Trustworthy and Communal Social Classifieds using HTTP and Wi-Fi," 2015 IEEE International Conference on Smart City, Chengdu, China, Dec. 2015, pp. 486-493.
  3. Z. Zhang, D. Chu, X. Chen, and T. Moscibroda, "Mobile Motion Gaming: Enabling a New Class of Phone-to-Phone Action Games on Commodity Phones," IEEE Transactions on Mobile Computing, vol. 12, no. 8, Aug. 2013, pp. 1487-1501. https://doi.org/10.1109/TMC.2013.38
  4. S. Harbert, T. Jaiswal, L. Harley, T. Vaughn, and A. Baranak, "Mobile Motion Capture - MiMiC," 35th Annual International Conference of the IEEE EMBS, Osaka, Japan, July 2013, pp. 3435-3438.
  5. T. Feng, X. Zhao, and W. Shi, "Investigating Mobile Device Picking-up Motion as a Novel Biometric Modality," 2013 IEEE Sixth International Conference on Biometrics, Arlington, VA, USA, Oct. 2013, pp. 1-6.
  6. J. Kumar, M. Madasamy, M. Bathusha, and V. Sivakumar, "Efficient file sharing system using XMPP (Let's Share)," IEEE International Conference On Recent Trends In Electronics Information Communication Technology, Bangalore, India, May 2016, pp. 1589-1593.
  7. V. Koufi, F. Malamateniou, G. Vassilacopoulos, and A. Prentza, "An Android-Enabled Mobile Framework for Ubiquitous Access to Cloud Emergency Medical Services," 2012 IEEE Second Symposium on Network Cloud Computing and Applications, London, UK, Dec. 2012, pp. 95-101.
  8. D. Ryu and T. Choi, "Development of Open IoT platform based on Open Source Hardware & Cloud Service," J. of the Korea Institute Electronic Communication Sciences, vol. 11, no. 5, May 2016, pp. 485-490. https://doi.org/10.13067/JKIECS.2016.11.5.485
  9. B. Cha, S. Park, and J. Kim, "Prototype Design of Hornet Cloud using Virtual Honeypot Technique," J. of the Korea Institute Electronic Communication Sciences, vol. 10, no. 8, Aug. 2015, pp. 891-900. https://doi.org/10.13067/JKIECS.2015.10.8.891
  10. X. Hao and C. Kim, "Design and Implementation of a Smart Home Cloud Control System Using Bridge based on IoT," J. of the Korea Institute Electronic Communication Sciences, vol. 12, no. 5, Oct. 2017, pp. 865-872. https://doi.org/10.13067/JKIECS.2017.12.5.865
  11. Y. Yilmaz, B. Aydin, and M. Demirbas, "Google Cloud Messaging (GCM): An Evaluation," 2014 IEEE Global Communications Conference, Austin, SA, Dec. 2014, pp. 2807-2812.
  12. S. Poyyeri, V. Sivadasan, B. Ramamurthy, and J. Nieveen, "MHealthInt: Healthcare Intervention Using Mobile App and Google Cloud Messaging," 2016 IEEE International Conference on Electro Information Technology (EIT), Grand Forks, USA, May 2016, pp. 145-150.
  13. N. Li, Y. Du, and G. Chen, "Survey of Cloud Messaging Push Notification Service," 2013 International Conference on Information Science and Cloud Computing Companion, Guangzhou, China, Dec. 2013, pp. 273-279.