Lecture 1: Getting Ready Topics: People and Course Overview

People Let’s introduce ourselves! Your name What year and major/minor? Why COMP 433?

Learning Objective Learning the basics of Mobile Application Development using Android APIs. Learning about some selected topics on Mobile System and Networks. Some (after spring break) Mostly

What to Expect Develop “proof of concept” Android Apps. A lot of programming and self-learning.

What not to Expect You will be a “pro” or a “hacker”. The TA is for “debugging” my program.

Course Structure Lecture Class Work Assignment Project Final

Grading Class Attendance (3%) Class Work (12%) Programming Assignments (40%) Project (20%) Final (25%)

Example: Course Organization/Flow Getting Ready Android Studio Building 1st App Framework Intent Assignment 1 (due) http://mobile.web.unc.edu/schedule/

Office Hours and Resources Office Hour: Friday 11am – 12:00pm (Email) TA: A grad student (office hours: Friday 2pm-4pm) GitHub: https://github.com/uncmobile Course Webpage: http://mobile.web.unc.edu/ Sakai: https://sso.unc.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1 Piazza: https://piazza.com/unc/spring2019/comp433/home Email: Email IDs in CC.

Some Logistics Absence Late Assignments Office/TA Visit Class Etiquette

Spring 2016 – Interesting Projects (1) Project: Breadcrumbs https://youtu.be/tk1i-oG2XBc

Spring 2016 – Interesting Projects (2) Project: Balance Buddy https://youtu.be/BlBHEA4baOc

Mobile Computing Systems A portable electronic device along with its communication infrastructure, that enables computation and wireless communication.

Smart * “Smart” mobile systems contain a mobile OS that can run mobile Apps.

Smart+ * “Smart” mobile systems often contain – a touch screen, built-in GPS receiver, sensors, in addition to what a standard computer has. Example of phone sensors: Accelerometer Magnetometer Gyroscope Compass Light Proximity Temperature Pressure

Computing Devices Device Processor Mem Storage Connectivity Laptop (Macbook Pro) 2.80 GHz 16 GB 512 GB WiFi Smartphone (Nexus 6P) 1.55 GHz 3 GB 128 GB WiFi, Cellular, BLE, NFC Wearables (Gear S) 1 GHz 512 MB 4 GB WiFi, BLE, NFC Raspberry Pi 3 1.2 GHz 1 GB microSD Ethernet, WLAN, BLE Arduino UNO (ATmega328P) 16 MHz 2 KB 32 KB Various shields Intel Joule 1.7 GHz WiFi, BLE http://www.gsmarena.com/ https://www.raspberrypi.org/magpi/raspberry-pi-3-specs-benchmarks/

Wireless Networks Network Type Speed Range Power Common Use WLAN 600 Mbps 45 m – 90 m 100 mW Internet. LTE 5-12 Mbps 35km 120 – 300 mW Mobile Internet 3G 2 Mbps 3 mW Bluetooth 1 – 3 Mbps 100 m 1 W Headsets, audio streaming. Bluetooth LE 300 Kbps 100+ m .01–.5 W Wearables, fitness. Zigbee 100 Kbps 0.45 mW WSN (The numbers are not that simple to estimate exactly, but should give you an idea) http://dl.acm.org/citation.cfm?id=1644927 http://dl.acm.org/citation.cfm?id=2307658 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6616827&tag=1

Putting them together A mobile system often consists of sensors, mobile phones, and a server who talk to each other over BLE and WiFi, as appropriate.

Two Example Systems Android Based System (MobiCOG) Wearable + Android System (PAWS)

Android Example: MobiCOG Automation of MiniCog – a paper based 3 minute dementia pre-screening test.

Video Demo – MobiCOG https://www.youtube.com/watch?v=kk05dKghpCA

Android Example: MobiCOG Features: Chain Codes Symmetry Classifier: k-NN 1 Chain-Code = (0,2,0,3,1,1,3,0) Symmetry = (80%, 70%)

PAWS A multi-channel audio headset and a mobile app that detects and localizes cars and alerts a user in real-time.

Video Demo https://www.youtube.com/watch?v=J_B91D7ZJ_Q

Next … Complete Assignment #0. Download and install Android Studio. Read the “Class Work 1” ahead of time. Bring your laptop, Android device, and USB cable. After a brief lecture (Android Studio), we will complete class work 1 together.

Assignment #0 Complete the assignment (strongly recommended)