Title: Computer Vision Skills Learning
Investigator Name: Dr. Max Donelan, Ph.D.
Investigator Department: Biomedical Physiology and Kinesiology

Your signature on this form will signify that you have received a document which describes the procedures, possible risks, and benefits of this research study, that you have received an adequate opportunity to consider the information in the documents describing the study, and that you voluntarily agree to participate in the study.
STUDY TEAM

Principal Investigator: Dr. Maxwell Donelan, Professor in Biomedical Physiology and Kinesiology (778-782-7100)
Co-investigators, Research Personnel, etc.: Raymond Tran, Research Lead, WearTech Labs and Ellie Thompson, MSc Student, Simon Fraser University

The study is being funded by an NSERC Discovery Grant.
INVITATION AND STUDY PURPOSE

The purpose of this study is to understand whether and how computer vision and artificial intelligence can be used to help athletes learn complex fitness movements, which ultimately may lead into designing new products that can help coaches and athletes teach and learn new movements and improve health and performance.
VOLUNTARY PARTICIPATION

Your participation is voluntary. You have the right to refuse to participate in this study. If you decide to participate, you may still choose to withdraw from the study at any time without any negative consequences to the education, employment, or other services to which you are entitled or are presently receiving.

You should not feel pressured to participate because of an existing relationship with a member of the research team.
STUDY PROCEDURES

Participants and Screening
This study will involve healthy male and female athletes and coaches located across Canada. This consent form is specifically for athletes. By completing the eligibility questionnaire, you have indicated that you meet the criteria for participation in this study. You will also be asked to complete an intake questionnaire that gathers demographic information and details about your athletic history.

Session and Methods
This study involves remote participation and does not require you to visit WearTech Labs or any specific location. All data collection will take place at your preferred training location (e.g., your home gym or fitness facility).

We ask that you record and submit videos of bar muscle-ups. Videos may show either successful or failed attempts, as both are valuable for this study. You may use your own smartphone or camera to record your performance. You can either ask a peer to take the video or prop up the phone on the floor or any other object yourself. Once recorded, you will upload your videos directly to a secure WearTech Labs web page designed for this purpose.
STUDY RESULTS

The primary data collected in this study will include:
  1. Smartphone video data.
  2. Written and auditory feedback from coaches watching your movements remotely via the recorded videos.
This data will be analyzed using the data analysis software Python.

The data may be used to publish new knowledge about the use of video materials and computer algorithms to give automatic feedback. There will be no identifiable connection between the published data and you.

The results of this study may be published in journal articles and academic conferences.
POTENTIAL BENEFITS OF THE STUDY

By researching how computer vision could be used in learning complex fitness movements, we might eventually be able to develop products that can help coaches and athletes teach and learn new fitness movements to stay healthy and improve their performance. Algorithms that can automatically give feedback will enable athletes in remote areas without access to a coach or without the financial capacity to afford a coach, to learn complex fitness movements by using their own smartphones.
POTENTIAL RISKS OF THE STUDY

It is possible that the repetition of fitness exercises will cause muscle stiffness and fatigue. However, this won't go beyond what you would typically feel during training.
CONFIDENTIALITY

Your confidentiality will be respected. However, research records and health or other source records identifying you may be inspected in the presence of the Investigator or their designate and by representatives of Simon Fraser University’s Research Ethics Board for the purpose of monitoring the research.

You will be assigned a unique study number as a participant in this study. Each of your videos will also be assigned a unique ID, and there will be no association with your name or any other personal information. Your face will be visible in the videos. We will not share these videos with anyone except eligible coaches who provide feedback. We will share the videos with the coaches by giving them access to a secure database, accessed through a web application. We will also give you access to your own videos, by using your user ID and your personal password to log into the web application. We will delete all videos from this database once all coaches have provided feedback.

Because coaches will be able to see your face in the videos, we cannot guarantee full confidentiality. Coaches will be asked to sign that they won’t be sharing the videos.

Any other information besides the videos that contains your identity will remain only with the Principal Investigator and/or designate. The list that matches your name to the unique study number that is used on your research-related information will not be removed or released without your consent. We will upload your data to our secure server and to the secure database that is connected with the web application to give feedback.

Your rights to privacy are legally protected by federal and provincial laws that require safeguards to ensure that your privacy is respected and also give you the right of access to the information about you that has been provided and, if need be, an opportunity to correct any errors in this information. Further details about these laws are available on request to the researchers.
WITHDRAWAL

You may withdraw from the study at any time, without prejudice, by notifying a member of the research team. You do not need to give a reason for withdrawing from the study. If you choose to enter the study and then decide to withdraw at a later time, all data collected about you during your enrolment in the study will be destroyed.
FUTURE USE OF PARTICIPANT DATA

Some journals and funding agencies require that data be uploaded to an online repository. In current best practices in research, electronic data is to be preserved for future use in open access initiatives. Data uploaded to an online repository are stripped of any information that could identify participants (e.g., names, email addresses), to ensure confidentiality. The smartphone videos are identifiable as your face will be visible. However, any information linking your identity to the smartphone video is removed. More so, in the event videos are uploaded into a public repository in an effort to further minimize any identification, your face will be blurred using computer software. Although your body will be visible in the video your face will be pixelated and non-identifiable.

Data retained on local copies in our lab will be secured on a password protected computer protected by an alarmed door to our lab. This data will be kept for up to 10 years.
CONTACT FOR COMPLAINTS

If you have any concerns about your rights as a research participant and/or your experiences while participating in this study, please contact the Director, SFU Office of Research Ethics, at dore@sfu.ca or 778-782-6593.
PARTICIPANT CONSENT AND SIGNATURE

Taking part in this study is entirely up to you. You have the right to refuse to participate in this study. If you decide to take part, you may choose to pull out of the study at any time without giving a reason and without any negative impact on your standing within the CrossFit community, or with WearTech Labs.
  • Your signature below indicates that you have received a copy of this consent form for your own records.
  • Your signature indicates that you consent to participate in this study.
  • You do not waive any of your legal rights by participating in this study.
  • Your signature indicates your consent to share your videos with eligible coaches via a secure database accessed through a web application.
I may obtain copies of the results of this study, upon its completion by contacting:
Dr. Max Donelan, Professor
Department of Biomedical Physiology and Kinesiology
Simon Fraser University.
778-782-4986
mdonelan@sfu.ca
I have been informed that the research will be confidential. I understand the risks and contributions of my participation in this study and agree to participate:

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