Affiliation:
1. PDEAs, College of Engineering, Manjari (BK), Pune, Maharashtra, India
Abstract
In Today's world AI & Machine learning getting updated continuously. Due to rising demand of automated & predicated system user, get attracted towards the Machine learning using IoT. In this work, I work on handicapped related people to get time-to-time update & exact information related that person who used our device. In this I simply used the system that attach in shoes that get activated as hoes wear by handicapped person, after wearing shoes from that time period till remove shoes all them activate are recorded and store in database as well as send massage on mobile phone. Its store in all information on database so we can have used those informed any time to generate the report to examine handicapped person & gives exact solution & medicine to that person so its help doctor & patient to recover from it as early as possible.
Reference25 articles.
1. Rasheed N, Zaidi IH, Rasheed N, Hussain G. Awareness regarding clubfoot in parents. J Pak Orthopaedic Assoc. 2017;29:90–4.
2. Burfat A, Mohammed S, Siddiqi O, Samad L, Mansoor AK, Amin CM. Understanding the knowledge and perceptions about clubfoot in Karachi, Pakistan: a qualitative exploration. Iowa Orthop J. 2013;33:149.
3. Barker SL and Macnicol MF. Seasonal distribution of idiopathic congenital talipes equinovarus in Scotland. J Pediatr Orthop B 2002; 11(2):129-33.
4. Wallander H, Hovelius L, and Michaelsson K. Incidence of congenital clubfoot in Sweden. Acta Orthop 2006; 77(6):847-52. [Taylor & Francis Online],
5. Feldbrin Z, Muscle imbalance in the aetiology of idiopathic club foot. An electromyographic study. J Bone Joint Surg Br 1995; 77(4):596-601.