Page 1 of 13 ENS6126 Master of Engineering Project 1 Proposal and Risk Assessment Report Wearable Technology for Athletes Karan Sadana Student # 10354165 31 Mar 2017 Supervisor: Dr Iftekhar Ahmad Ethics Declaration Checklist (to be completed by student) Does this project involve the use of: YES/NO (a) Human participants, NO (b) Previously collected confidential data, NO (c) Animals for scientific purposes? NO If ‘YES’ to any of the above, then the proposal will not be approved and you will not be allowed to proceed with this project. By submitting this report through the unit website for assessment, you certify that the information provided above is true and correct. Page 2 of 13 Abstract Nowadays, Technology is the key to achieve your goals in every fields. Advancement in sensors and techniques helps to adopt the gadgets in our life on daily basis. However, wearable technology includes many benefits which does help the professional athletes to achieve their best. Physiologists view this technology a way to reduce any injury. Physiology labs which have latest technology like sensors and Hi-tech slow-motion cameras(HD) for calculating accurate statics [1]. Moreover, to get the 3D positional trajectory different sensors are attached to the athlete body. In this report concept of Arduino used with Zigbee for transmitting the data observed by ultrasonic sensors display on the LCD. 1. Introduction 2. 2.1. Motivation In the world of sports Victory, defeat and most importantly injury are the integral parts. There are many factors contributing in success of sports person such as hard work, determination, motivation and inspiration. Apart from these factors the awareness and techniques engaged in the sports to avoid fatal injuries are also play vital part. Mostly in aristocratic athletes, sadly athletics bruises are very common. When you forcefully doing the task by stretching your limits then infrequent occurs. There are very common forms of injuries that happens in sports such as track injuries that occurs while running and field injuries such as jumping or landing bruises [2]. There are myriads of injuries that attribute to the end of sports career of thousands of sportsmen. In the history there are hundreds of stories that depicts how successful athletes lost their career, thanks to fatal injuries. Page 3 of 13 Fig 1: Knee Injury to athlete during game. Many athletes have gone through detrimental injuries that robbed their career. So we have very big example of well-known sports person Adrian Peterson who stuck by major knee injury that took him away from sport for ever [3]. After going through the injuries, it is fact that athlete never achieve same caliber as they use to deliver. Hence, all these accidents happened in sports person’s life inspired me to research about some techniques that could avoid or detect factors that can lead to major injuries. 2.2. Objectives Page 4 of 13 The main goal of project is to split my work into two primary and secondary tasks with respecting permitted time limit. Essential goals are expected to be the major target and the secondary ones would be worked upon if confinements of time and other various components are tended to. The main objectives of this project are shown as: Semester 1, 2017 1. To review and research about the purposes for detection of positioning of athletes’ body movements. 2. To research and investigate the dangers required from various injuries. 3. To enhance the skills and performance of athletes by addressing their body movement. 4. To think of existing ideas and tactics to enhance them to have a more secure environment for athletes. 5. To review and examine previous techniques and theories that works for sports science and how to make them sophisticated. Semester 2, 2017 1. Selection of components and devices that will be used in hardware project. Page 5 of 13 2. To plan equipment circuit keeping in mind the end goal to execute the proposed outline for Hardware project. 3. To design and program the software with appropriate coding. 4. To compile hardware and software and testing of equipment. 2.3. Significance The utilization of wearable gadgets that allows constant or discontinuous observing of physiologic signs is basic for the headway of both the analysis and also improving body movements of athletes. The basic clinical or healing facility checking of physiologic occasions, for example, the electrocardiogram or blood pressure gives just a concise physical condition, but the wearable Fitness trackers observe the metrics from body activities like covered distance by running or walking, Fat burn, Heart rate [4]. The burden of personal health-care easily rectifies by wearable technology. Therefore, the prime focus of my project will be to address the various factors associated with athletes such as observation of body posture and collect all data for future analysis. 3. Proposed Approach The project work is divided into following steps: Methodology: The project is all about monitoring the body movements of athletes to avoid the injuries and enhance the performance so, my project is going to address all wrong body posture by observing stats such as running speed, body Page 6 of 13 reflex, contraction, relaxation of muscle and blood pressure. To implement the proposed idea in practical we use various components shown below: • Ultra sonic sensor [5] • Arduino • Servo Motor • EMG (Electromyography) [6] • LCD display • Sphygmomanometer • Transmitter Procedure: In proposed project there will be four ultra-sonic sensors placed in four corners of room which going to detect the direction and running distance Page 7 of 13 and speed of athlete. The small LCD display attached to sensors display the distance and rest of the data is transmitted with the help of Zigbee [7] to the base and there will be a graphical representation of directions with respect to time [8]. Apart from these components, there is very important device will be used to monitor the blood pressure and muscles contraction and relaxation also recorded by Sphygmomanometer [9]. 4. Timeline This project is performed by two students of same stream and time limitation of various aspects has been discussed together. The Gantt chart shown below illustrates the time allocation for this project work. We have decided to complete the project work in two semesters. The tasks have been target to cover in this semester are mentions in the attachment 1.the rest of project work will be performed in following semester 2.the Gantt chart depicts the all planning and commencement date of each and every activity and time limit to complete tasks. 4.Risk Assessment There is an attachment 2 that will reveal information about risk assessment. there is a minimum risk while doing this project with ensuring all safety measures. however, there are few factors involve in doing this project that cause some trouble such as engaging long hours with computer, researching and collecting and selecting data for proposal report. but, these issues can be easily fix out by taking crucial breaks [10]. There is collective effort have been done toward selecting hardware component and testing of each electronic components such as sensors, servo motor, Page 8 of 13 microcontroller, emg(electromyography). Besides, there are some risks are always present while working and performing with electronic components such as electric shock, short circuit, sparking etc. 5. Progress to Date The project work has started after allocation of project for semester 1 of 2016. Firstly, the long research has been done to select the topic and collect the data that has to include in the project report. There has been deep research on various aspects of this chosen project and consult with personnel working in this industry in India, the outcome of this consultation and research has transformed into proposal report and follow by upcoming progress report and there is no other progress has been produced. 5.Conclusion In this report the conclusion has been reached that the wearable technology will be a great help for athletes. It not only rectifies the injury origin but also to improve the strength of the sports person. As in this technique our most focus is on finding the angle and motion where athlete should apply excessive force or turn or twist the foot without knowing it. To avoid this athlete is monitored with the help of sensors and display on the screen to analgised by professionals to avoid the mishaps. Theoretical study will be done on this topic in this whole semester. Further, work will be continued on the next semester with the result and output. References: Page 9 of 13 [1} D. R. Seshadri, C. Drummond, J. Craker, J. R. Rowbottom and J. E. Voos, "Wearable Devices for Sports: New Integrated Technologies Allow Coaches, Physicians, and Trainers to Better Understand the Physical Demands of Athletes in Real time," in IEEE Pulse, vol. 8, no. 1, pp. 3843, Jan.-Feb. 2017 [2] Feltz, D. L. (1988). Self-confidence and sports performance. Exercise and sport sciences reviews, 16(1), 423-458. [3] Siscovick, D. S., Weiss, N. S., Fletcher, R. H., & Lasky, T. (1984). The incidence of primary cardiac arrest during vigorous exercise. New England Journal of Medicine, 311(14), 874-877. . [4] Gastin, P. B., McLean, O., Spittle, M., & Breed, R. V. (2013). Quantification of tackling demands in professional Australian football using integrated wearable athlete tracking technology. Journal of science and medicine in sport, 16(6), 589-593. [5] Fortmann, T., Bar-Shalom, Y., & Scheffe, M. (1983). Sonar tracking of multiple targets using joint probabilistic data association. IEEE journal of Oceanic Engineering, 8(3), 173-184 [6] Linssen, W. H., Stegeman, D. F., Joosten, E. M., Notermans, S. L., van't Hof, M. A., & Binkhorst, R. A. (1993). Variability and interrelationships of surface EMG parameters during local muscle fatigue. Muscle & nerve, 16(8), 849-856. [7] Benkic, K., Malajner, M., Planinsic, P., & Cucej, Z. (2008, June). Using RSSI value for distance estimation in wireless sensor networks based on ZigBee. In Systems, signals and image processing, 2008. IWSSIP 2008. 15th international conference on (pp. 303-306). IEEE. [8] Harikrishnan, R. (2015). An Integrated Xbee Arduino and Differential Evolution Approach for Localization in Wireless Sensor Networks. Procedia Computer Science, 48, 447-453. [9] Hall, D. J., & Kim, J. H. (2003). U.S. Patent No. 6,661,342. Washington, DC: U.S. Patent and Trademark Office. [10] Hoogendoorn, W. E., van Poppel, M. N., Bongers, P. M., Koes, B. W., & Bouter, L. M. (1999). Physical load during work and leisure time as risk factors for back pain. Scandinavian journal of work, environment & health, 387-403. Page 10 of 13 Page 11 of 13 Attachment 1 – Timeline Chart Page 12 of 13 Page 13 of 13 Attachment 2 – Risk Assessment Matrix Risk Reference Risks Consequences Current Risk Treatments Current Level of Risk Additional Risk Treatments Residual Level of Risk Likelihood Consequence Risk Level Ranking Likelihood Consequence Risk Level Ranking 1 Dealing with computer For long interval Sore eyes, Back pain Regular breaks and take refreshments 4 2 3 L Set a particular break time 2 1 2 L 2 Algorithm and programing Error Specially cause problem in coding Full concentration, keep checking algorithm 2 3 2 L Under the guidance of supervisor 2 2 2 L 3 Handling electronics components Components with sharp edges and delicate pins Use protection and use safety case for delicate components 2 1 3 L Follow the instructions and safety 2 1 1 L 4 Stress due to project work Brain stop working and reduce thinking capability Keep up health level of responsibility to work, while permitting for time spend outside of venture furthermore, unit work 2 2 3 L NA 2 2 2 L 5 Unable to complete in assign time Stress and lack of co-ordination Keep in touch with supervisor 3 2 3 L NA 2 2 1 L Activity Overall Risk Rating 0.00 LOW