Novel Economical Social Distancing Smart Device for Covid19

Nadikattu, Rahul Reddy; Mohammad, Sikender Mohsienuddin; Whig, Pawan

doi:10.34218/ijeet.11.4.2020.023

Cited by 37 publications

(11 citation statements)

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“…3. A detailed primary data has been collected based on questions given below and after considering them a motivational level is calculated [27], [28]. This motivational level further with the help of deep learning is realized as output by considering the effect of all mentioned parameters [29], [30].…”

Section: Model Usedmentioning

confidence: 99%

Measuring Computational Psychometrics Analysis Motivational Level in Learner’s using Different Parameters through Deep Learning Algorithm

Bhatia¹,

Mittal²

2022

jcse. journal. of. computer. science. and. engineering.

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Learning is an ongoing process irrespective of age, gender and geographical location of acquiring new understanding, knowledge, behaviours, skills, values, attitudes, and preferences. Formative assessment methods have emerged and evolved to integrate learning, evaluation and education models. Not only is it critical to understand a learner's skills and how to improve and enhance them, but we also need to consider what the learner is doing; we need to consider navigational patterns. The extended learning and assessment system, a paradigm for doing research, captures this entire view of learning and evaluation systems. The function of computational psychometrics is to facilitating the translation from raw data to meaningful concepts. In this research study, several factors are considered for psychometric analysis of different kinds of learners, and based on a motivational level, many interesting conclusions have been drawn and presented in the result section at the end of the paper. Deep learning model Ludwig Classifier used to calculate, motivational Level is obtained for 100 number of epochs and it is found that the loss is decreasing and in other words, the accuracy of the machine goes on increasing. Each of the categories discussed here has new capabilities, or at the very least expansions of current ones.

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Section: Model Usedmentioning

confidence: 99%

Measuring Computational Psychometrics Analysis Motivational Level in Learner’s using Different Parameters through Deep Learning Algorithm

Bhatia¹,

Mittal²

2022

jcse. journal. of. computer. science. and. engineering.

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“…Penelitian yang dilakukan oleh Nadikatu dkk, menggunakan pendekatan yang berbeda dalam mendeteksi pelanggaran pembatasan sosial dimana pada penelitian tersebut, penulis menggunakan microcontroller arduino dengan sensor PIR (Passive Infrared Sensor) untuk mendeteksi pergerakan objek (dalam hal ini manusia). Perangkat tersebut kemudian akan menperingati pengguna melalui smartphone jika terdapat objek lain terlalu dekat melebihi batas dari protokol pembatasan sosial [4].…”

Section: Tinjauan Pustakaunclassified

Deteksi Pelanggaran Social Distancing Menggunakan Raspberry Pi Kamera Berbasis IOT

Maulana¹,

Wedashwara

Zubaidi

2022

J-Cosine

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Social distancing is one of the methods used to keep yourself and others safe during a pandemic and prevent the transmission of Covid-19. With social distancing, the spread of Covid-19 can be minimized. By utilizing two tools, namely the Raspberry Pi to classify using the haar cascade classifier algorithm from data obtained from the pi camera module as a visual raspberry pi used to detect a person's body. Raspberry pi camera will start detecting using crontab unit time. If the Raspberry Pi camera detects a person who is less than one meter away, that person is said to have violated social restrictions and vice versa, the data will be stored on the Raspberry Pi which also becomes a web server. The website is used as a system user interface, Raspberry Pi camera communication uses the machine to machine (M2M) protocol which is applied to a website-based application.

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“…Concerning social distancing, it is possible to adopt shortdistance radio technologies supported by most modern smartphones, such as Bluetooth, to determine the number of people within a certain distance from the user and provide indications on the risk degree (i.e., safe, moderate, high) based on that interpersonal distance (Munir et al, 2020;Dong and Yao, 2021). Another viable solution is to utilize cost-effective wearable devices that alert users, via notification, whether another individual is physically too close considering the safety guidelines (Nadikattu et al, 2020;Nasajpour et al, 2020).…”

Section: Internet Of Things Solutions To Fight Covid-19 In Living Environmentsmentioning

confidence: 99%

IoT as Non-Pharmaceutical Interventions for the Safety of Living Environments in COVID-19 Pandemic Age

Gamberini

Pluchino

Bacchin

et al. 2021

Front. Comput. Sci.

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The outbreak of the Sars-Cov-2 pandemic has changed our perception of safety in shared and public living environments including healthcare facilities, shops, schools, and enterprises. The Internet of Things (IoT) represents a suitable solution for managing anti-pandemic smart devices (e.g., UV lights, smart cameras, etc.) and increasing citizens’ safety in public health crises. In this paper, we highlighted how IoT technologies can be exploited as non-pharmaceutical interventions presenting the SAFE PLACE project as an implementation of this concept. The project meant to design and develop an IoT system to ensure the safety and salubrity of shared environments. Advanced algorithms will be exploited to detect and classify humans’ presence, gathering, usage of personal protective equipment, and considering carefully the privacy protection of individuals.

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Novel Economical Social Distancing Smart Device for Covid19

Cited by 37 publications

References 0 publications

Measuring Computational Psychometrics Analysis Motivational Level in Learner’s using Different Parameters through Deep Learning Algorithm

Measuring Computational Psychometrics Analysis Motivational Level in Learner’s using Different Parameters through Deep Learning Algorithm

Deteksi Pelanggaran Social Distancing Menggunakan Raspberry Pi Kamera Berbasis IOT

IoT as Non-Pharmaceutical Interventions for the Safety of Living Environments in COVID-19 Pandemic Age

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