https://technology.eurekajournals.com/index.php/IJRIMMA <p style="text-align: justify;">Global&nbsp;Journal on Recent Innovation in Microelectronics and Microcontroller’s Applications (GJRIMMA) publishes articles on &nbsp;Microelectronics and Microcontroller’s Applications research and applications. It covers aspects from fundamental principles to practical implementation, intending to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities. The journal focused on fast peer-review process of the submitted paper to ensure accuracy, the relevance of article and originality of the paper.</p> en-US admin@eurekajournals.com (Eureka Journals) OJS 3.0.0.0 http://blogs.law.harvard.edu/tech/rss 60 https://technology.eurekajournals.com/index.php/IJRIMMA/article/view/339 <p>Our paper deals with heart rate detection using microcontroller (Arduino Atmega328). Heart rate is estimated as number of times the heart beats per minute. Diverse physiological conditions, for example, excessive physical workload, workload tensions, extra focus required to complete assigned official work, concentration, and the dynamic condition of the autonomic nervous system is reflected in the heart beat rate. Heart beat can be estimated either by the ECG waveform or by pulse sensing. It depends on the musical extension and compression of a conduit as blood is constrained through it by withdrawals of the heart at standard interims. This rhythmic expansion and contraction can be detected from areas where the artery is closed to skin such as near the finger tips.</p> KOUSHIK SARKAR, MADHURA MUKHERJEE, ANKITA SAHA, PRATITI SAHA, ARKA PAUL, SHALINI SARKAR https://technology.eurekajournals.com/index.php/IJRIMMA/article/view/339 https://technology.eurekajournals.com/index.php/IJRIMMA/article/view/419 <p>The most startling of the contemporary problems is the sleepiness of chauffeur which causes lots of car accidents. Prevention of those impending accidents by detecting and alerting the sleepy chauffeur is vital, otherwise that would lead to loss of lives and various traumas along with severe injuries. The slumber or sleep may be caused by huge stress, pressure, relentless work load or alcoholism, for which sleep deprivation occurs and the chauffeur while driving gets drowsy. So far, considerable amount of systems has been developed to detect drowsiness of drivers, most of which mainly depend on image processing algorithms using cameras. Some of them also incorporate artificial intelligence and machine learning based algorithms. This paper presents a review of the existing systems and also proposes an easy and cheap system using sensors and Arduino, capable of detecting sleepiness and generates siren alarm and send alert message to take precautionary measures.</p> HIMEL GHOSH, SAYAK CHATTERJEE, ANTIK GANGULY, SHREETAMA KARMAKAR, KOUSHIK SARKAR https://technology.eurekajournals.com/index.php/IJRIMMA/article/view/419