SummerSim 2016: Smart wearable device for health monitoring in the Internet of Things domain - Response for Reviewers

[Jacob Barhak]

Below is the Response for reviewers submitted as part of the camera ready manuscript

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Comments to the first reviewer First of all we say thank you to the reviewer for its comments, we found them very interesting and they will help us to achieve a better work. Thanks for noticing us the lack of discussion about model limitations and constraints we add a briefly section to describe limitations, constraints and future works. In fact, this is the first work on the developed device in the IoT domain and we considered a limited set of people to make the tests and of course due to this limitation we will spread tests over a more differentiated set of people. In this phase was important to verify whether the device correctly recognizes activities and how the device brings up value of HBR. The second step on the evaluation of the HBR outliers has been based on a static model obtaining reference HBR starting from a resting position. In these last weeks we are working on a more deeply testing campaign by evaluating a more robust and feasible model to identify HBR user anomalies; after that we would like to submit a more detailed work in a journal version. Moreover, to do this we are asking help to medical researchers that are suggesting us several people with some kind known hearth diseases to evaluate the accuracy of the model. However, early results show us that the activity recognition works quite good having a good percentage of success, and for people that has good health status the whole model works well. More test campaigns with a set different people will be made in the next future. Briefly this work, at the current status of progress, is not proposing a medical device but it has the main goal to help people to recognize some events that may represents a warning. If these warnings are continuously recognized it is suggested to ask a medical help. Comments to the second reviewer We have to thanks the reviewer for its comments, we tried to improve the paper as he suggests. As wrote for the first reviewer we are investigating model performances by considering an enlarged set of people that is composed of different kind of people. This will help us to evaluate model by working on different responses. We found very interesting the suggestion about evaluating heart rate as a distribution and we are investigating this possibility. We added a section where we try to discuss about paper limitation and constraints and how we would like to proceed in the next future.