Basic Sensors In Ios

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.

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

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.

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.

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

"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"--Provided by publisher.

Wireless MEMS Networks and Applications reviews key emerging applications of MEMS in wireless and mobile networks. This book covers the different types of wireless MEMS devices, also exploring MEMS in smartphones, tablets, and the MEMS used for energy harvesting. The book reviews the range of applications of wireless MEMS networks in manufacturing, infrastructure monitoring, environmental monitoring, space applications, agricultural monitoring for food safety, health applications, and systems for smart cities. Focuses on the use of MEMS in the emerging area of wireless applications Contains comprehensive coverage of the range of applications of MEMS for wireless networks Presents an international range of expert contributors who identify key research in the field

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.