Provide Insights On Efficient Weightlifting -Myassignmenthelp.Com

Question: Discuss About The Provide Insights On Efficient Weightlifting? Answer: Introduction The collection of information and analyzing them is included in this section of the paper. The information and data from sources are arranged in a logical and sequential manner. The utilization of hypothetical techniques and numerical values will be the sole intent of this section in the paper. This paper has utilized the positivism philosophy due to the fact that the utilization of scientific approaches for collecting and analyzing data will be adopted in the analysis used for this research. In this paper, the deductive approach is utilized for analyzing the relevant sources. Acceleration responses for weightlifting With reference to equation 1, accelX is considered to be the value from the ADC converter. Here, Vref is considered to be the reference voltage which will be used to scale the readings. Similarly, accelXzerovoltage is termed as the nominal voltage when stationary position is implied. Lastly, accelSensitivity is termed as the voltage response for every unit per g-force. In a similar management, the other axes parameters are evaluated using these formulas. Signal processing For the use of this device, the adoption of Nave Bayes Classifier and Hidden Markov Model has been emphasized. The first requirement for any real time analysis involves filtering out the noise from the sensor data. For this reason, this paper will utilize the adoption of MATLAB which will help in filtering out the noise from a 3-axis accelerometer. The next step will involve the detection of the sensor signal. This must be done for checking the threshold level of the device so that an effective data collection is implied. This will also be done by utilizing the MATLAB software. Any kind of raw or filtered signal from the sensor can be used. Lastly, the utilization of a 3D camera will be adopted which will help in collection of the signals in the 3-axes accelerometer. Data collection techniques Data collection is the process which involves the collection of data from various sources. The data and information is then collected from various sources. There are two different types of data collection techniques, the primary and secondary data collection. In case of the primary methods, the information is collected from surveys and interviews while in case of secondary data collection, the information is collected from online sources like journals, books and websites. For this research paper, the researcher has utilized the primary data collection method. Sampling technique The number of devices used and the instrument involved in collecting the data is discussed in this section of the paper. For this paper, the researcher has utilized the primary data collection methods. This paper will analyze the signals from the device which will be considered as the main instrument for this paper. For this paper, the three axis accelerometer will be used for analyzing the different types of data. Data analysis technique The analysis of the collected data is involved in this section. The data that is collected is then analyzed and presented in the research paper. The utilization of data analysis methods is done for this case and for providing a successful estimation of the data involved. There are two different types of data analysis methods, the quantitative and the qualitative method of data analysis. In the qualitative method of data analysis, the observations and analysis from interviews are involved whereas in case of the quantitative method of data analysis, the utilization of surveys are involved. Gantt chart 1st-2nd week 3rd-4th week 5th-6th week 7th-8th week 8th-9th week 10th-11th week 12th-13th week Selecting the topic for research Getting the required approval for topic Performing secondary data collection initially Final draft training for the research proposal Submitting the research proposal Studying in-depth of the secondary data Preparing the associated literature review Identification of the participants for conducting primary research Conducting interview of the participants Arrangement of ideas in data collection Data analysis and evaluation Interpreting and discussing about the data Developing the conclusion Final revision of the paper Submitting the research paper Figure 5: Gantt chart (Sources: Created by the author) References Attal, F., Mohammed, S., Dedabrishvili, M., Chamroukhi, F., Oukhellou, L., Amirat, Y. (2015). Physical human activity recognition using wearable sensors.Sensors,15(12), 31314-31338. Chang, K. H., Chen, M. Y., Canny, J. (2014, September). 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