Submit your paper : editorIJETjournal@gmail.com Paper Title : The Intelligent Band Assistant for the Elder Generation ISSN : 2395-1303 Year of Publication : 2021 10.29126/23951303/IJET-V7I2P2 MLA Style: -CH. Navya Sri, G. Sanjeev,M.Shiva Kumar, Dr.M.Sreedhar Reddy , " The Intelligent Band Assistant for the Elder Generation " Volume 7 - Issue 2 March - April,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -CH. Navya Sri, G. Sanjeev,M.Shiva Kumar, Dr.M.Sreedhar Reddy , " The Intelligent Band Assistant for the Elder Generation " Volume 7 - Issue 2 March - April,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract - The magnitude of everything else settled citizen is on the increase around the planet. From now on, the number of those residing alone is also projected to rise if a more organized entity lives alone witnesses a coronary scene, or collapses at home, no one is around to warn the virtuoso to members of the group. The investigation will take hours or days and the defendant can be dead by then. We have also established a structure that provides organized indications to be forwarded correctly or with a click of the image, depending on the situation and readiness for an emergency listing. This floral wearable wristband watch structure is fused by a clear wristband systemBt.hat can track and locate the person wearing the waste of an elderly individual in successful emergencies and usually warn family members and head advocates. The contract can be visited by a PDA and is full of unambiguous and innovative elements that are revised for more organized thought. Reference . Phillip Olla and Joseph Tan, Mobile Health Solutions for Biomedical Applications, Medical Information Science Reference, 129-140 (2009). 2. K. Shimizu, Telemedicine by Mobile Communication, IEEE Engineering in Medicine and Biology, 32-44 (1999). 3. J. Boyle, M., and M. Karunanithi, Simulated Fall Detection Via Accelerometers [J], Int. IEEE-EMBS, Vancouver, 1274-1277 (2008). 4. U. Lindemann, A. H. Evaluation of a Fall Detector Based on Accelerometers: A Pilot Study [J], New York, Medical &Biolog. Engg. Comput., 43, 1146-1154 (2005). 5. C. C. Wang, P. Y. Lin et al., Development of a Fall Detecting System for the Elderly Residents[C]. Taiwan, Institute of Biomedical Engineering National Yang-Ming University, 1359-1362 (2008). 6. Yuzhen Cao Weichao Cai Yang Chen, Human Body Attitude Detection Technology Based on MEMS Acceleration Sensor [J], Nanotechnol. Precision Engg., 1, 5 (2010). 7. M. R. Narayanan, S. R. Lord, B. G. Celler et al., Falls Management: Detection and Prevention, Using a WaistMounted Triaxial Accelerometer[J], Int. Conf. of the IEEEEMBS Cite International (2007) pp. 4037-4040. 8. M. Grassi, Alombardi and G. Rescio, A HardwareSoftware Framework for HighReliability People Fall Detection[Z], NY, USA, IEEE Sensors, 1328-1331 (2008) Keywords Wristband, Arduino, GPS, Health Monitoring, Heart rate, Assistant, Elderly. |