scholarly journals A Comparative Paper on Intelligence Fitness System Using the Concept of IoT

Author(s):  
Swati Sahu

Abstract: As we know after covid-19 usage of Gym and yoga center is really difficult so most of us using the online gym and yoga session , where we use multiple fitness equipment but some time we use those fitness equipment in wrong direction which causes serious health issues in future to avoid those issues there is need of smart fitness equipment which is able to give the suggestion once we use the equipment in wrong direction. , in this paper basically we did the study about the previous existing work on emotion analysis and try to find out the research gaps and there future scope. Keywords: IoT, Smart, Fitness, Health, Connectivity, BLE

2019 ◽  
Vol 65 (7-8) ◽  
pp. 643-655 ◽  
Author(s):  
Albina Balidemaj ◽  
Mark Small

Objectives: The purpose of this literature review was to highlight the studies on mental health in relation to acculturation and ethnic identity and to identify research gaps. The results can be used to help inform future immigrant mental health workers and policy makers as well as provide information about the implications of immigrant mental health. Methods: The literature search was conducted electronically, directed by a variety of key words. The search focused on five areas of immigrant mental health importance: (1) acculturation; (2) acculturation and mental health; (3) ethnic identity; (4) ethnic identity and mental health; and (5) acculturation, ethnic identity and mental health. A total of 171 articles were examined and 110 were included in the review. Results: The information is presented in the following categories: acculturation; acculturation and mental health; ethnic identity; ethnic identity and mental health; and acculturation, ethnic identity and mental health. Research gaps are also presented. Conclusion: Overall, literature shows that acculturation, ethnic identity and mental health are closely related to one another affecting both, individuals and communities. This literature review will help to better inform practitioners who may encounter immigrants experiencing mental health issues due to acculturation and ethnic identity pressure. This review may also help policy makers identify specific obstacles that are not addressed in immigration policies which can affect the implementation of these policies. In addition, the information presented can be used as an instrument for researchers in the field. Despite the limited amount of information about immigrant mental health challenges, much work remains to fully support the affected individuals and their families.


Author(s):  
Rodolfo Saracci

Abstract Matching epidemiology’s aspirations to actual delivery of goods valuable for population health depends both on the scientific and operational capabilities of epidemiology and on the degree to which the goods meet its contract with society. Epidemiology’s capabilities have remarkably advanced in recent decades, although research gaps have appeared during the current Covid-19 pandemic. Epidemiology’s social contract reflecting a dual commitment to science and health could arguably be entirely met by producing research results under conditions variously described as objective, impartial, neutral, independent and handing such results to decision makers and the public at large. However a closer examination shows that the four adjectives address sharply distinct issues, with distinct practical implications, and that the epidemiologist responsibility is ‘de facto’ involved beyond providing research results. Hence the epidemiologist’s engagement should encompass arguing from a science-for-health viewpoint and proactively driving the results into decision processes on public health issues.


Author(s):  
Rewati Saha

Abstract: As we know we are living in the era of digital world where everything is based on data analysis, now a days after covid it’s really difficult to do the analysis on real world, so there is need of an algorithm which is able to do the analysis on virtual world, suppose there is any application which is able to identify the user feedback based on there emotion, so there is need of a novel algorithm which is work on the concept of the emotion analysis, in this paper basically we did the study about the previous existing work on emotion analysis and try to find out the research gaps and there future scope. Keywords: Computer Vision, Machine Learning, Emotion Analysis, Deep Learning


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