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SIT123 Data Capture Technologies

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SIT123 Data Capture Technologies

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SIT123 Data Capture Technologies

1 Download3 Pages / 642 Words

Course Code: SIT123
University: Deakin University

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: Australia

Questions:
Your project should do the following:Use sensors to collect some data as relevant to the problem.Using collected data, to carry out an analysis.Visualise the collected data.Provide recommendations based on the analysis 
Answer:
Project description 
In this new age of technology gadgets as well as gizmos may not be highlighted as a first thing that coil to the mind while focusing on the mechanism of healthy living. Digitized life style can harm the healthy living of the human and also negatively impact the mental status of a human. For living a better and healthy daily lives the concept of Internet of Things (IoT) and the smart home needs to be modified further. This project depicts the area of problems with smart home in context with healthy living and energy usage. Accurate sensors are used for the smart home to gather data regarding this specific issue. Then the collected data will be analyzed and as per the analysis resultants recommendations are also delivered. 
Details description of the approach 
For the set up of the smart home with the sensor devices IoT or Internet of things technology is to be used that would help the devices to get connected wireless with the other components in the smart home designed. All the devices are to be connected to a router with the use of a wireless device that would used for controlling the sensors. Such as a mobile or a tablet. 
Problem Statement 
In order to automate the common tasks which relives the burden to operate the knobs, switches successfully various devices are available that are needed to be used accurately in proper locations. Due to lack of utilization of the proper monitoring sensors the health condition of the living person are getting difficult 
Hypothesis
Sensor can monitor the health condition of the living people in smart home H1: Sensor cannot monitor the health condition of the living people in smart home 
Ethical concern of the project 
While designing this smart home mechanism more perfect none of the ethical components are allowed to be compromised by the developers. While security of all the collected information are very important. None of the information should be shared to the third parties without permission. All the gathered data should be accessed only by the authorized users. The participants of the project should not be manipulated or even pressurized while designing the improved version that can track and monitor the health condition of the person who are living inside the smart home. Not only this but also top most layer of the smart home architecture that delivers all the necessary services should keep secured from the externals. 
Challenges and lesson learnt
Reflecting on the suited approaches it is defined that some challenges are there that may interrupt the activities of the smart home technology and the challenges are as follows: Data imbalance: The total amount of data those have been recorded throughout for the recognition of different activities may imbalanced.  Interweaved recognition: It is another challenging area for the smart home technology and its application. Activities for multi-residents: Homes are mostly occupied with more than one person if the total number of people become high then the tracking and monitoring approach become difficult. While developing such system parallel.
Bibliography
Ling, D., Barclay, J. and Blackhall, L., 2018. Measuring What Matters (MWM): Building an Informatics Foundation for Quality Improvement with Automatic Data Capture and Enrollment into a Patient Registry (QI824). Journal of Pain and Symptom Management, 55(2), pp.712-713.
 
Garvin, J.H., Kim, Y., Heidenreich, P., Nativi-Nicolau, J., Inampudi, C., Zeng-Treitler, Q., Gobbel, G.T. and Meystre, S.M., 2017. Health Informatics Improves Heart Failure Data Capture for Quality Measures, Research and Decision Support in VA. Journal of Cardiac Failure, 23(8), p.S113.
 
Greening, D.W., Xu, R., Ji, H., Tauro, B.J. and Simpson, R.J., 2015. A protocol for exosome isolation and characterization: evaluation of ultracentrifugation, density-gradient separation, and immunoaffinity capture methods. In Proteomic Profiling (pp. 179-209). Humana Press, New York, NY. 

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