![]() ![]() ![]() This paper is mainly about improving the daily registration system to monitor the movement of Malaysians during the Covid-19 outbreak. Thus, the government can easily track down and notify the person if the virus transmission occurs. This entrance registration will take their identities, such as name, contact number, and current temperature. There will be an entrance registration for people that enter any shops, malls, schools, or offices. To control the COVID-19 outbreak, the Malaysia government has to tighten the rules and add on some standard operating procedures (SOP) for all premises. This analysis is important to further developing suitable model that can be used toĭetect the anomalies in their routine home activity patterns. Paper, analysis of staying alone elderly’s daily activities and behaviors are performed. Sensors can be collected and analyzed to detect if there is any anomaly found. Home for independent elderly that stay alone. The most feasible and cost-saving approachįor in-house monitoring should be setting up sensors at different locations in a smart Phone and smart watch could be the alternative approaches to monitor the health of Monitoring System, smart clothing as well as embedded health care system in smart Is normally expensive and might cause financial burden to a family in the longterm.įortunately, with advance technology, alternative approaches such as Global The number of children in one family is decreasing. Number of elderlies that staying alone at home also increase accordingly since ![]() ![]() The elderly population in most of the countries has risen from year to The system has a set of samples to be trained against and then the trained model is tested against a set of test data. There could be an emergency situation for them and in order to inform people around them, this system is an effective tool. This is a very useful hands-free approach. The user has to perform a particular gesture, the webcam captures this and identifies and recognizes it against a set of known gestures and displays and vocalizes the gesture. This project is a combination of gesture identification, classification and it displays the message pertaining to the gesture while simultaneously reading the message out loud. The hand gesture recognizer and actuator system acts as an interface between computer and human using hand gestures. It uses the concept of neural networks in order to help the people with disabilities communicate better with just their hand gestures. This project is a small contribution to address this issue and help them communicate better. This system will be easy to access and affordable as it useĬommunication is the basic medium by which we can interact and understand each other but unfortunately this process can prove to be difficult for the people with disabilities. So, we have also discussed a sign language translation system integrated into a video calling application, in which we will be using a single shot multibox detector for hand detection, for feature extraction Inception V3 will be used, and support vector machines for classification, attention network for generating semantically correct sentences and a text to speech synthesizer for audio output. We have found that although many sign language recognition and translation system exist none of them provides efficient and real-time conversation of sign language into audio and many sign language recognition and translation system are hand movement sensor-based which are not affordable to everyone. This paper presents a review of different sign language recognition and translation systems and the various techniques like classification algorithms that were implemented in them. Improvement in machine learning technology has led to research on its application in sign language recognition and translation system. But most people are not familiar with sign language, so communication becomes difficult among mute, deaf and the rest of the people. Sign language is the communication method used to bridge the gap among mute and deaf people and the rest of the people. ![]()
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