Paper title: Personalized Human Activity Recognition Using Convolution Neural Networks

Aim(s): Design Model for Personalized Human Activity Recognition Using Convolution Neural Networks

DOI: 10.1007/978-3-319-66808-6_18 Review due date: 14 / 6 /2020

Abstract, title and references ● The aim of this paper is to develop a transfer learning framework using convolutional neural networks to build a personalized activity recognition model with minimal user supervisions. ● In abstract the researchers try to develop convolutional neural networks to build a personalized activity recognition model, and the main article is match the abstract and the methodology is not outlined and the results and conclusion are align with the aim ● The researchers done there study in a good way by using convolutional neural networks to build a personalized activity recognition mode. ● the title "Personalized Human Activity Recognition Using Convolutional Neural Networks" is informative and relevant.

The references • The references are 8 references, these references are: •The references are relevant to Human Activity Recognition and convolutional neural networks • The references are recent from 2010 to 2017 •I think there are few references and there should be more references related to Human Activity Recognition and convolutional neural networks • No any references from 2018 to 2020 • The references included appropriate key studies

Introduction/background ● The introduction is very short and there no any discuses about the topic, ● The introduction is not answered about any research question, ● The research question is not justified given what is already known about the topic ● There is no organization for the body of paper • The researchers don’t write any related work section to explain a background about the topic and no any focus on HAR and convolutional neural networks

The methods • The section define the methods are ( Representation Learning for Sensory Data ) In this section the researchers try to explain methodology of these work, but the researchers don't write any section about Human Activity Recognition Essentials, Human Activities, Sensing and Data Collection , Feature Selection and Extraction , Sensor Type. • The process of subject is not clear especially to explain convolutional neural networks ● The variables defined and measured are not appropriately ● The study methods valid and reliable but is not cleared in this paper ● There are not enough detail in order to replicate the study

Results for study • Researchers try to explain the implementation of study but not clearly presented . ● The paper not have number of decimals ● The researcher don’t write a result in tables or have any Titles, columns, and rows labeled ● The text in the result is repetitive ● There are no any statistically significant result and the researcher in result section are not clear in writing the result

Discussion and Conclusions Discussion and Conclusions the researcher not discusses the result and concluded that the term functional modeling has been taken to have different meanings in different contexts. The conclusion not answer the aims of the study , the conclusion are not supported by references. The researcher not write any the study fatal, if the paper is rewrite may be it is opportunities to inform future research Overall ● The study design are not appropriate to answer the aim for Personalized Human Activity Recognition Using Convolutional Neural Networks. The idea is good, but the researchers did not review the idea scientifically and did not review previous studies, and also did not review the results in a good way and there is no extrapolated work ● This study didn’t add anything to what was already known on this topic ● The major flaws of this article are : Discussion and Conclusions the researcher not discusses the result and concluded that the term functional modeling has been taken to have different meanings in different contexts. The conclusion not answer the aims of the study , the conclusion are not supported by references . ● There are no any statistically significant result ant the researcher in result section are not clear in writing the result

Overall statement or summary of the article and its findings in your own words The researcher try to Defining what are the Personalized Human Activity Recognition Using Convolutional Neural Networks that an Artificial General Intelligence can use to Increase General Problem Solving Ability in efficient and good way, but the researchers can't explained this in the body of paper, and they didn't explain the AI methods used to in study

Overall strengths of the article and what impact it might have in your field : There no any overall strengths of the article

Specific comments on weaknesses of the article and what could be done to improve it

Major points in the article which needs clarification, refinement, reanalysis, rewrites and/or additional information and suggestions for what could be done to improve the article. 1. Add related work 2. Add future work 3. The Abstract and conclusion need to rewrite 4. No organization of paper at the end of introduction 5. Discussion and Conclusions the researcher not discusses HAR. The conclusion not answer the aims of the study, the conclusion are not supported by references. 6. There are no any statistically significant result and the researcher in result section are not clear in writing the result 7. There are no any keyword

Minor points like figures/tables not being mentioned in the text, a missing reference, typos, and other inconsistencies. 1. need the English edit