University of Michigan
Wearable Technologies and Sports Analytics
University of Michigan

Wearable Technologies and Sports Analytics

This course is part of Sports Performance Analytics Specialization

Taught in English

Some content may not be translated

Peter F. Bodary

Instructor: Peter F. Bodary

3,280 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(32 reviews)

Intermediate level

Recommended experience

28 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand how wearable devices can be used to help characterize both training and performance.

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Assessments

11 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(32 reviews)

Intermediate level

Recommended experience

28 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Sports Performance Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

In this module, we will introduce different types of wearable devices that are used by athletes and teams to improve training and recovery. We will start by highlighting what types of sensors are used within the wearable devices and how the data coming from these sensors can provide insights, such as training intensity and or physiologic “readiness”.

What's included

4 videos7 readings2 quizzes1 app item2 ungraded labs

In this module, we will focus on what we have introduced as “external” measures. We will point out some of the (inaccurate) assumptions that are made regarding external measures of “load” and “effort”. In addition, we will outline how the continuous use of wearable devices has led to new opportunities for quantifying effort as well as (in theory) reducing injury and improving performance. We will finish by describing the “acute to chronic workload” and the reasons it has gained a lot of attention in the past several years.

What's included

3 videos3 readings3 quizzes2 app items1 discussion prompt2 ungraded labs

In this module, we will dive more into the physiology of training and recovery, focusing on what we have introduced as “internal” measures. We will further explore the use of internal sensors to provide a glimpse of how the individual athlete is responding to the stress induced by training and/or competition. We will also highlight the pros and cons of using internal measures to evaluate individual and team training and recovery.

What's included

5 videos2 readings2 quizzes1 app item1 discussion prompt2 ungraded labs

In this module, we combine external and internal measures to provide a much more nuanced look at training and recovery. The external measures can provide a highly quantified evaluation of the movements and motions that have taken place, while the internal measures provide feedback about how the athlete is tolerating the training. Combining them can be instrumental for evaluating performance improvements and preventing or reducing overuse injuries.

What's included

3 videos5 readings2 quizzes1 app item2 ungraded labs

In this module, we will discuss the exciting new global metrics that have been developed and/or used by many of the consumer devices that are available today. Although these new metrics are exciting, we want to be cognizant of the limitations of these devices. Therefore, we will discuss what sensors are actually employed to provide these new metrics and highlight where validation is feasible.

What's included

5 videos5 readings2 quizzes1 app item2 ungraded labs

Instructor

Instructor ratings
4.4 (7 ratings)
Peter F. Bodary
University of Michigan
1 Course3,280 learners

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4.6

32 reviews

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Reviewed on Nov 24, 2021

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