Basic Sensors In Ios

"Programming the accelerometer, gyroscope, camera, and magnetometer"--Cover.

What really sets the iPhone apart from laptops and PCs is its use of onboard sensors, including those that are location-enabled. This concise book takes experienced iPhone and Mac developers on a detailed tour of iPhone and iPad hardware by explaining how these sensors work, and what they're capable of doing. With this book, you'll build sample applications for each sensor, and learn hands-on how to take advantage of the data each sensor produces. You'll gain valuable experience that you can immediately put to work inside your own iOS applications for the iPhone, iPod touch, and iPad. This book helps you focus on: Camera: learn how to take pictures and video, create video thumbnails, customize video, and save media to the photo album Audio: use the media picker controller and access the iPod music library in your own application, and enable your app to record and play sampled audio Accelerometer: write an application that uses this sensor to determine device orientation Magnetometer: learn how this sensor verifies compass headings Core Motion: use this framework to receive motion data from both the accelerometer and the vibrational gyroscope This short book is part of a collection that will, along with new material, be compiled into a larger book, iOS Sensor Programming. The other books in this collection are Augmented Reality in iOS, Geolocation in iOS, and iOS Sensor Apps with Arduino.

This book looks at how to integrate iOS devices into distributed sensors network, both to make use of its own on-board sensors in such networks, but also as a hub.

Although developers have covered a lot of topics and activities with nearly 200,000 apps for the iPhone, they have yet to tap the riches of location-based and augmented reality applications. This book shows you how to use iPhone's sensors -- the three-axis accelerometer, GPS, digital compass, and camera -- to build cutting-edge location-aware apps that interact with the physical world. You can easily access iPhone's sensors, but interpreting the data you get back from them is tricky. Harder still is combining the input from several sensors with outside data sets. This book shows you how to put it all together. It's ideal for experienced iPhone programmers, game programmers, augmented reality programmers, and geo hackers. Get an introduction to the hot topic of programming iPhone's built-in sensors Learn how to create sensor-aware apps that respond to a user's location Understand the basics of augmented reality programming Build apps that combine data from the accelerometer, GPS, digital compass, and camera This book is based on a collection of books that was published earlier, along with additional material not available elsewhere. The books in this collection are Augmented Reality in iOS, Geolocation in iOS, iOS Sensor Apps with Arduino, and Basic Sensors in iOS.

Get a solid grounding in all the fundamentals of Cocoa Touch, and avoid problems during iPhone and iPad app development. With this revised and expanded edition, you'll dig into Cocoa and learn how to work effectively with Objective-C and Xcode. This book covers iOS 6 in a rigorous, orderly fashion--ideal whether you're approaching iOS for the first time or need a reference to bolster existing skills. Learn about features introduced with iOS 6, including Objective-C language advances, autosynthesis, autolayout, new view controller rotation rules, unwind segues, state restoration, styled text, and collection views. Learn Objective-C language details and object-oriented programming concepts Understand the anatomy of an Xcode project and all the stages of its lifecycle Grasp key Cocoa concepts such as relationships between classes, receiving events, and model-view-controller architecture Learn how views and layers are managed, drawn, composited, and animated Become familiar with view controllers and their relationships, along with nib and storyboard management Fully explore all basic interface objects such as scroll views, table views, and controls Delve into Cocoa frameworks for sound, video, sensors, maps, and other features Touch on advanced topics such as threading and networking

Turn your iPhone or iPad into the hub of a distributed sensor network with the help of an Arduino microcontroller. With this concise guide, you’ll learn how to connect an external sensor to an iOS device and have them talk to each other through Arduino. You’ll also build an iOS application that will parse the sensor values it receives and plot the resulting measurements, all in real-time. iOS processes data from its own onboard sensors, and now you can extend its reach with this simple, low-cost project. If you're an Objective-C programmer who likes to experiment, this book explains the basics of Arduino and other hardware components you need—and lets you have fun in the process. Learn how to connect the Arduino platform to any iOS device Build a simple application to control your Arduino directly from an iPad Gather measurements from an ultrasonic range finder and display them on your iPhone Connect an iPhone, iPad, or iPod Touch to an XBee radio network Explore other methods for connecting external sensors to iOS, including Ethernet and the MIDI protocol

Make the most of the common architectures used for deriving meaningful data from sensors. This book provides you with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management. In today’s world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, IoT, and other mobile devices. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. What You'll Learn Look at the general architecture for sensor based data Understand how data from common domains such as inertial, visual and audio is processed Master multi-modal recognition using multiple heterogeneous sensors Transition from recognition to knowledge through relationship understanding between entities Leverage different methods and tools for knowledge representation and management Who This Book Is For New college graduates and professionals interested in acquiring knowledge and the skills to develop innovative solutions around today's sensor-rich devices.

Although developers have covered a lot of topics and activities with more than 725,000 apps for iOS devices, they have yet to tap the riches of location-based and augmented reality applications. This book shows you how to use iPhone's sensors -- the three-axis accelerometer, GPS, digital compass, and camera -- to build cutting-edge location-aware apps that interact with the physical world. You can easily access iPhone's sensors, but interpreting the data you get back from them is tricky. Harder still is combining the input from several sensors with outside data sets. This book shows you how to put it all together. It's ideal for experienced iPhone programmers, game programmers, augmented reality programmers, and geo hackers. Get an introduction to the hot topic of programming iPhone's built-in sensors Learn how to create sensor-aware apps that respond to a user's location Understand the basics of augmented reality programming Build apps that combine data from the accelerometer, GPS, digital compass, and camera Connect iOS devices to Arduino and connect to external sensors This book is based on a collection of books that was published earlier, along with additional material not available elsewhere. The books in this collection are Augmented Reality in iOS, Geolocation in iOS, iOS Sensor Apps with Arduino, and Basic Sensors in iOS.

Take your Android applications to the next level of interactivity by exploring the wide variety of Android sensors About This Book Get a thorough understanding of the fundamentals and framework of Android sensors. Acquire knowledge of advance sensor programming, and learn how to connect and use sensors in external devices such as the Android Watch, Polar heart rate monitors, Adidas speed cells, and so on. Learn from real-world sensor-based applications such as the Pedometer app to detect daily steps, the Driving app to detect driving events, and the Professional Fitness tracker app to track heart rate, weight, daily steps, calories burned, and so on. Who This Book Is For This book is targeted at Android developers who want to get a good understanding of sensors and write sensor-based applications, or who want to enhance their existing applications with additional sensor functionality. A basic knowledge of Android development is required What You Will Learn Learn about sensor fundamentals, different types of sensors, and the sensor co-ordinate system Understand the various classes, callbacks, and APIs of the Android Sensor framework Check all the available sensors on an Android device and know their individual capabilities—for example, their range of values, power consumption, and so on. Implement sensor fusion using two or more sensors together and learn to compensate for the weakness of one sensor by using the strength of another Build a variety of sensor based, real-world applications such as Weather, Pedometer, Compass, Driving Events Detection, Fitness Tracker, and so on. Get to know about wake up and non-wake up sensors, wake locks, and how to use sensor batch processing along with the sensor hardware FIFO queue Develop efficient battery and processor algorithms using raw sensor data to solve real-world problems Connect to a variety of remote sensors such as body weight measurement and body fat percentage measurement using the Google Fit platform from your Android app In Detail Android phones available in today's market have a wide variety of powerful and highly precise sensors. Interesting applications can be built with them such as a local weather app using weather sensors, analyzing risky driving behavior using motion sensors, a fitness tracker using step-counter sensors, and so on. Sensors in external devices such as Android Watch, Body Analyzer & Weight Machine, Running Speed Cell, and so on can also be connected and used from your Android app running on your phone. Moving further, this book will provide the skills required to use sensors in your Android applications. It will walk you through all the fundamentals of sensors and will provide a thorough understanding of the Android Sensor Framework. You will also get to learn how to write code for the supportive infrastructure such as background services, scheduled and long running background threads, and databases for saving sensor data. Additionally, you will learn how to connect and use sensors in external devices from your Android app using the Google Fit platform. By the end of the book, you will be well versed in the use of Android sensors and programming to build interactive applications. Style and approach A step-by-step and easy-to-follow guide that focuses on utilizing sensors to perform certain tasks. After covering the fundamentals in the first chapter, the book develops the concepts by building a real-world, sensor-based application in subsequent chapters.

Since they entered our world around the middle of the 20th century, the application of mechatronics has enhanced our lives with functionality based on the integration of electronics, control systems and electric drives. This book deals with the special class of mechatronics that has enabled the exceptional levels of accuracy and speed of high-tech equipment applied in the semiconductor industry, realising the continuous shrink in detailing of micro-electronics and MEMS. As well as the more frequently presented standard subjects of dynamics, motion control, electronics and electromechanics, this book includes an overview of systems engineering, optics and precision measurement systems, in an attempt to establish a connection between these fields under one umbrella. Robert Munnig Schmidt is professor in Mechatronic System Design at Delft University of Technology with industrial experience at Philips and ASML in research and development of consumer and high-tech systems. He is also director of RMS Acoustics & Mechatronics, doing research and development on active controlled low frequency sound systems. Georg Schitter is professor at the Automation and Control Institute (ACIN) at Vienna University of Technology with a standing track record in research on the control and mechatronic design of extremely fast precision motion systems such as video rate AFM systems. Adrian Rankers is managing partner of Mechatronics Academy, developing and delivering high level courses to the industrial community, based on industrial experience at Philips in the research and development of consumer and high-tech systems. Jan van Eijk is emeritus professor in Advanced Mechatronics at Delft University of Technology. He is also director of MICE BV and partner at Mechatronics Academy, acting as industrial R&D advisor and teacher with experience at Philips in the research and development of consumer and high-tech systems.