• Onal Chaudhari
• K. S. Warke
• Vaishnavi Mahajan
• Rutuja Zagade
• Vaishnavi Adsule

Fall is one of the foremost serious clinical issues which faced by the old individuals. Elder individuals with neuro chronic disorders like Parkinson illness typically fall. This ends up in the harm of wellbeing and additionally mental condition. Therefore, old individuals should to be taken care of all the time. However, it's not feasible to take care of them each moment. Therefore, automatic fall detection system is needed to trace fall at any time. An automatic fall detection system can provide help on time of incidence and therefore, it'll scale back treatment prices considerably. These systems aim to give alert to others once a fall is detected such immediate care are often provided to the fallen person without any kind of delay. The absence of someone's help when a fall might cause complications concerning health and should even cause death if immediate help isn't provided. Fall detection system sensors are accessible within the market but they should be attached to the body to trace fall. The old individuals might forget to wear them and may cause discomfort too. So as to beat these challenges, automatic fall detection and alert system are often used at the house to provide quick assistance. The solutions in these papers are enforced implement Machine Learning, Deep Learning and laptop Vision technology. In this paper, we discuss different methodologies to detect human falls. This project is aimed towards analyzing the effectiveness of those methods for the detection of human falls.

Machine Learning, Fall detection, Deep Learning, Computer Vision, Detection, alert generation

"FALL DETECTION FOR ELDERLY PEOPLE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.d412-d417, April-2023, Available :http://www.jetir.org/papers/JETIR2304362.pdf

"FALL DETECTION FOR ELDERLY PEOPLE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppd412-d417, April-2023, Available at : http://www.jetir.org/papers/JETIR2304362.pdf