Ashley Kevin Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and Iot 9781484257715

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Автор: Ashley Kevin
Название: Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and Iot
ISBN: 9781484257715
Издательство: Springer
Классификация:

Сетевое оборудование

Машинное обучение

Спортивная подготовка и тренерская работа

ISBN-10: 1484257715
Обложка/Формат: Paperback
Страницы: 259
Вес: 0.39 кг.
Дата издания: 25.08.2020
Язык: English
Издание: 1st ed.
Иллюстрации: 75 illustrations, color; 95 illustrations, black and white; xvi, 259 p. 170 illus., 75 illus. in color.
Размер: 23.39 x 15.60 x 1.47 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A practical guide to machine learning with deep vision, sensors and iot
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: IntroductionMachine Learning is fun with sensors and sports. Todays data scientist is out there, on the ski slopes, or surfing the waves, and best way to apply machine learning is real life scenarios of sports. What can we do if we had the best, the ultimate model of our body and health monitoring us constantly? So, when we wanted to start a new sport, for example skiing or surfing, our personal body assistant could give us suggestions, like a personal coach. With machine learning and AI methods, imagine having a coach next to you 24/7.
Part I: Sensors
Chapter 1: Getting StartedWhy are sensors important for health and fitness? For coaches, athletes and health professionals, they provide and objective picture of your activity. Its often impossible to capture micro-movements and forces of a downhill racer, moving at 100 mph down a winding ski trail, but when equipped with sensors, every aspect of that movement can be captured, analyzed and studied. In this book well use various IoT devices that can be used for sports data collection: inertial measurement units (IMUs), attitude and heading reference systems (AHRS), inertial navigation systems (INS/GPS), pressure sensors and others.1. Types of sensors and what they measurea. IMUs, AHRSb. INS/GPSc. Pressure sensorsd. Heart ratee. Vision and camera2. Sport science and dataa. Why is data frequency so important? A typical GPS device in your mobile phone works at 1Hz, that is one reading per second. Why isnt this enough for most sports applications?b. Machine Learning really cares about data frequencies, as a rule of thumb we will use 100 Hz for most sensor data we collect3. How can Machine Learning help?a. Problems solved by machine learning for human movement, health and fitness applications4. Visualizing sports from sensor dataProject: First look at athlete movement analysis with a sample sensor data set
Chapter 2: Sensor HardwareIt turns out they dont sell sensors with built in machine learning at convenience stores just yet! So, we made some. We go over some sport specific requirements for sensors, where and how sensors are placed on the body and equipment. In this chapter we will cover choices for sensor hardware, communication from sensors for data collection and data choices for IoT devices. 1) Sensor IoT devices: IMU, AHRS, INS/GPS, Pressure, Proximity2) Sensor communication3) Data choices for IoT devicesProject: Learning to work with a sample SensorKit dataset
Chapter 3: Sensor SoftwareOur sensor is operating at a relatively high frequency of 100 samples per second (100 Hz). We need a special software to connect our sensor to the app. In this chapter we include a practical project on how to connect our sensor via a protocol like Bluetooth Low Energy to a mobile device and transfer data to the cloud.1) Sensor firmware2) Algorithms for sensor data processing3) Connecting with the app and the SDKProject: Writing the code to connect from sensor to the cloud
Chapter 4: 3D Printing SensorsProject: 3D printing is a fantastic technology for custom applications like sports! In this chapter I included a fun project on designing the case for our sensor, using 3D design software like Fusion 360 and 3D printing our sensor.1) Designing sensor casing model for sports
2) Printing the sensor3) Every sport is different!Project: Designing a case and 3D printing our sensor
Part II: Sensor DataSensors generate an enormous amount of data! In this part we learn about different types of sensor data, how to parse

Applied Machine Learning for Health and Fitness: A Practical Guide to Machine Learning with Deep Vision, Sensors and Iot, Ashley Kevin