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Internet of Things: Sensing and Actuation From Devices
About this course: Have you wondered how information from physical devices in the real world gets communicated to Smartphone processors? Do you want to make informed design decisions about sampling frequencies and bit-width requirements for various kinds of sensors? Do you want to gain expertise to affect the real world with actuators such as stepper motors, LEDs and generate notifications? In this course, you will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. You will then develop software to acquire sensory data, process the data and actuate stepper motors, LEDs, etc. for use in mobile-enabled products. Along the way, you’ll learn to apply both analog-to-digital and digital-to-analog conversion concepts. Take this course for free by auditing or get a certificate from the host university/institution. Register Here ( Learning Goals: After completing this course, you will be able to: 1. Estimate sampling frequency and bit-width required for different sensors. 2. Program GPIOs (general purpose input/output pins) to enable communication between the DragonBoard 410c and common sensors. 3. Write data acquisition code for sensors such as passive and active infrared (IR) sensors, microphones, cameras, GPS, accelerometers, ultrasonic sensors, etc. 4. Write applications that process sensor data and take specific actions, such as stepper motors, LED matrices for digital signage and gaming, etc.

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What we're about

Internet of Things Chicago is a program initiative of Ubiquitous Computing Institute (UC Institute), a nonprofit educational organization in the State of Illinois.

To sponsor or partner with us, email:

Meetup formats: 1) Face-to-face 2) Online Courses 3) Webinars 4) Teleconference

Group Concept (The Cloud & the Internet-of-Things)

Ubiquitous computing is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.

Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.

Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.


The main focus of ubiquitous computing is the creation of smart products that are connected, making communication and the exchange of data easier and less obtrusive.

Key features of ubiquitous computing include:

Consideration of the human factor and placing of the paradigm in a human, rather than computing, environment

Use of inexpensive processors, thereby reducing memory and storage requirements

Capturing of real-time attributes

Totally connected and constantly available computing devices

Focus on many-to-many relationships, instead of one-to-one, many-to-one or one-to-many in the environment, along with the idea of technology, which is constantly present

Includes local/global, social/personal, public/private and invisible/visible features and considers knowledge creation, as well as information dissemination

Relies on converging Internet, wireless technology and advanced electronics

Increased surveillance and possible restriction and interference in user privacies, as the digital devices are wearable and constantly connected

As technology progresses, the reliability factor of the different equipment used may be impacted

Source: Techopedia, 2016.

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