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 Websites:   scholar.google, microsoft academic, scienceDirect, Publmed, ieee, refseek, web of science  Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey => my goal to make this,,, 1st.2nd.3rd.etc Gen, Desc, pic, how communication done, pros and cons, diagram of users, top algorithms used to improvements, most useful sensors and benefit of it, top inventors, diagram of users, Machine learning and Data analysis how much improves , ... future plans in improvement from Google and big companies, conclusion , references from acticles and google search. Abstract POINTS * Human activity monitoring and recognition (HAMR) based on smartphone sensor data is a feld that promotes a lot of obsevation in current era due to its notable desire in various Ambient Intelligent applications such as healthcare, sports, surveillance, and remote health monitoring. *  In this context, many research works have unveiled incredible results using various smartph

  Template for submission of Survey papers for           Literature survey (PaperCode) First A. Author, Second B. Author, Jr., and Third C. Author F. A. Author, Paper Name, Department of Computational Science, University, India ( e-mail: author1@ xyz.com). S. A. Author, Paper Name,  Department of Computational Science,University, India ( e-mail: author2@ xyz.com). T. A. Author, Paper Name , Department of Computational Science, University, India ( e-mail: author3@ xyz.com).     ABSTRACT Fill the text from your manuscript in different sections as shown below. Fill the text from your manuscript in different sections as shown below. Fill the text from your manuscript in different sections as shown below. Fill the text from your manuscript in different sections. Fill the text from your manuscript in different sections. Fill the text from your manuscript in different sections. Fill the text from your manuscript in different sections. Fill the text from your manuscript in different sections.