Sensing in Android

# Google maps - Hall of Fame & Hall of Shame

.left-column[
<br><br>
Do this now: [poll](https://edstem.org/us/courses/38124/lessons/59435/slides/331573)
]
.right-column[
![:img google maps,100%,width](img/sensing/google.jpg)
]

.footnote[Picture from [Machine Learning on your Phone](https://www.appypie.com/top-machine-learning-mobile-apps)]

???
fame/shame
neighborhood traffic...
shorter commutes...
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class: center, middle, inverse

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# Implementing Sensing

Lauren Bricker

CSE 340 Spring 23

.footnote[Slides credit: Jason Hong, Carnegie Mellon University
 [Are my Devices Spying on Me? Living in a World of
Ubiquitous
Computing](https://www.slideshare.net/jas0nh0ng/are-my-devices-spying-on-me-living-in-a-world-of-ubiquitous-computing);
]

---
layout: false

[//]: # (Outline Slide)
# Today's Agenda

**Do this now**: Answer the [poll](https://edstem.org/us/courses/38124/lessons/51126/slides/319297) in Ed

- Administrivia
  - Undo code and video due Fri 19-May, 10pm
  - Undo reflection due Sun 21-May, 10pm
  - Final Project out Fri 19-May
- Sensing and Reacting to the User
  - Discuss useful applications of sensing
  - Investigate Sensing and Location basics
- Implement sensing in practice
---

# Smartphones
.left-column[
[Poll](https://edstem.org/us/courses/38124/lessons/51126/slides/319297): How many of you
- sleep with your phone?
- check your phone first thing in the morning?
- use your phone in the bathroom?
]

.right-column[
![:img Millenial with phone in bed, 100%,width](img/sensing/phone-bed.jpg)
]
---

# Smartphones Fun Facts about Millennials

.left-column[
![:fa thumbs-down] 83% sleep with phones
]
.right-column[
![:img Millenial with phone in bed, 100%,width](img/sensing/phone-bed.jpg)
]
---
count: false

# Smartphones  Fun Facts about Millennials

.left-column[
![:fa thumbs-down] 83% sleep with phones

![:fa thumbs-down]  90% check first thing in morning
]
.right-column[
![:img Millenial with phone in bed, 100%,width](img/sensing/phone-bed.jpg)
]
---
count: false

# Smartphones  Fun Facts about Millennials
.left-column[
![:fa thumbs-down] 83% sleep with phones

![:fa thumbs-down] 90% check first thing in morning

![:fa thumbs-down]  1 in 3 use in bathroom

]
.right-column[
![:img Millenial with phone in bed, 100%,width](img/sensing/phone-bed.jpg)

]
---
# Smartphone Data is Intimate

![:img Picture of smart phone screens with phone numbers; map; and sensor data, 60%,width](img/sensing/personal.png)

| Who we know           | Sensors               | Where we go   |
|-----------------------|-----------------------|---------------|
| (contacts + call log) | (accel, sound, light) | (gps, photos) |

--
count: false
And yet it is very useful!

---
# Useful Applications of Sensing

Talk with your neighbors:

* What apps do you know about that uses sensors on the phone?
* What data is being collected?
* How is it being used?

--
count: false

Share out!

---
# Useful Applications of Sensing

![:img Picture of LeafSnap app, 60%,width](img/sensing/leafsnap.jpg)

.footnote[[LeafSnap](http://leafsnap.com/) uses computer vision to
identify trees by their leaves]

---
# Useful Applications of Sensing

![:img Picture of Aipoly app, 60%,width](img/sensing/aipoly.jpg)

.footnote[[Vision AI](https://www.aipoly.com/) uses computer vision to
identify images for the Blind and Visually Impaired]

---
# Useful Applications of Sensing

![:img Picture of Carat app, 60%,width](img/sensing/Carat.jpg)

.footnote[[Carat: Collaborative Energy
Diagnosis](http://carat.cs.helsinki.fi/) uses machine learning to save
battery life]
---
# Useful Applications of Sensing

![:img Picture of Imprompdo app, 50%,width](img/sensing/imprompdo.jpg)

.footnote[[Imprompdo](http://imprompdo.webflow.io/
) uses machine learning to recommend activities to do, both fund and todos]

---
# Example: COVID-19 Contact Tracing

.left-column-half[
![:img Picture of a COVID-19 contact tracing app showing motivational text like Join the fight and Get motivated if you come into contact with COVID-19, 100%, width](img/sensing/contact-tracing.jpg)
]
.right-column-half[
- Install an app on your phone
- Turn on bluetooth
- Keep track of every bluetooth ID you see
- Sends bluetooth ID (securely).
- Will only notify people if you report you contracted COVID
- That's when others are notified (securely and privately) that they were in the
vacinity of someone who contracted COVID
]

---
# Context Aware Apps

.left-column-half[
![:img Picture of a COVID-19 contact tracing app showing motivational text like Join the fight and Get motivated if you come into contact with COVID-19, 90%, width](img/sensing/contact-tracing.jpg)
]
.right-column-half[
This is a **Context-Aware** app
- The app is using on board sensors (not user initiated input) to capture data
- The app "learns" information about the user

]

---
# Context Aware Apps

“software that examines and reacts to an individual’s changing context.” - Schilit, Adams, & Want 1994

“...aware of its user’s state and surroundings, and help it adapt its behavior” - Satyanarayanan 2002
]
.footnote[From [Intro to Context-Aware Computing](https://www.cs.cmu.edu/~jasonh/courses/ubicomp-sp2007/slides/12-intro-context-aware.pdf)]

---
# Types of Context-Aware apps
.left-column[
![:img Picture of a mobile phone with a text message on screen containing a transcription of recent audio, 100%, width](img/sensing/scribe4me.jpeg)
]
.right-column[
**Capture and Access**

Recording the events around us, help us to synthesize and analyze the data, then do something
with that information.

]
--
count: false
.right-column[
What Capture and Access apps do you use or can you think of?
]
---
# Types of Context-Aware apps
.left-column[
![:img Picture of a mobile phone with a text message on screen containing a transcription of recent audio, 100%, width](img/sensing/scribe4me.jpeg)
]
.right-column[
**Capture and Access** research examples:
- .red[Food diarying] and nutritional awareness via receipt analysis [Ubicomp 2002]
- .bold.red[Audio Accessibility] for deaf people by supporting mobile
sound transcription [Ubicomp 2006, CHI 2007]
- .red[Citizen Science] volunteer data collection in the field [CSCW
  2013, CHI
  2015]
- .red[Air quality assessment] and visualization [CHI 2013]
- .red[Coordinating between patients and doctors] via wearable
  sensing of in-home physical therapy [CHI 2014]
]
---
# Types of Context-aware apps
.left-column[
![:img Picture of a mobile phone with an unlock gesture that also labels emails for keeping or discarding, 100%, width](img/sensing/proactive.png)
]
.right-column[
Capture and Access<BR>
**Adaptive Services**

Computing systems that can change themselves in response to their environment.
]

--
count: false
.right-column[
What Adaptive Services can you think of?
]

---
# Types of Context-aware apps
.left-column[
![:img Picture of a mobile phone with an unlock gesture that also labels emails for keeping or discarding, 100%, width](img/sensing/proactive.png)
]
.right-column[
Capture and Access<BR>
**Adaptive Services** research examples:

- .red[Adaptive Text Prediction] for assistive communication devices
  [TOCHI 2005]
- .red[Location prediction] based on prior behavior [Ubicomp 2014]
- .bold.red[Pro-active task access] on lock screen based on predicted user
  interest [MobileHCI 2014]

]
---
# Types of Context-aware apps
.left-column[
![:img example interaction above and on the surface of a phone supported by adding a depth camera to the front of the phone -- shows
interacting with text, 100%, width](img/sensing/airtouch.jpg)

![:img example interaction above and on the surface of a phone supported by adding a depth camera to the front of the phone -- shows interacting with an image, 100%,width](img/sensing/airtouch2.jpg)
]
.right-column[
Capture and Access<BR>
Adaptive Services<BR>
**Novel Interaction**

New and different ways to interact with a computing device.

]
--
count: false
.right-column[
What Novel Interactions can you think of?
]

---
# Types of Context-aware apps
.left-column[
![:img example interaction above and on the surface of a phone supported by adding a depth camera to the front of the phone -- shows
interacting with text, 100%, width](img/sensing/airtouch.jpg)

- .red[Cord Input] for interacting with mobile devices  [CHI 2010]
- .red[Smart Watch Intent to Interact] via twist'n'knock gesture [GI
  2016]
- .red[VR Intent to Interact] vi sensing body pose, gaze and gesture
  [CHI 2017]
- .red[Around Body interaction] through gestures with the phone
  [Mobile HCI 2014]
- .red.bold[Around phone interaction] through gestures combining on and
  above phone surface [UIST 2014]

![:img example interaction above and on the surface of a phone supported by adding a depth camera to the front of the phone -- shows interacting with an image, 100%,width](img/sensing/airtouch2.jpg)
]
.right-column[
![:youtube Interweaving touch and in-air gestures using in-air
gestures to segment touch gestures, H5niZW6ZhTk]

]

---
# Types of Context-aware apps
.left-column[
![:img Picture of an interface for simulating driving behavior providing feedback to the user about aggressive driving, 100%, width](img/sensing/driving.png)

]
.right-column[
Capture and Access<BR>
Adaptive Services (changing operation or timing)<BR>
Novel Interaction<BR>
**Behavioral Imaging**

Using sensing data and modeling techniques to measure and
analyze human behavior.

]
--
count: false
.right-column[
What Behavioral Imaging can you think of?
]

]
.right-column[
Capture and Access<BR>
Adaptive Services (changing operation or timing)<BR>
Novel Interaction<BR>
**Behavioral Imaging**

- .red[Detecting and Generating Safe Driving Behavior] by using
inverse reinforcement learning to create human routine models [CHI 2016,
2017]
- .red[Detecting Deviations in Family Routines] such as being late to
pick up kids [CHI 2016]

]
---
# Contact tracing

Question (answer on [Ed](https://edstem.org/us/courses/38124/lessons/59435/slides/331575)): What context aware
classification would you give the the contact tracing app?
- Capture and Access
- Adaptive Services
- Novel Interaction
- Behavioral Imaging

--
count: false

Answer : Capture and Access

We are capturing information about who you've been around,
and indirectly allowing someone else to access that information.

---
# How do these systems work?

.left-column50[
## Old style of app design
<div class="mermaid">
graph TD

I(Input) --Explicit Interaction--> A(Application)
A --> Act(Action)

classDef normal fill:#e6f3ff,stroke:#333,stroke-width:2px;

class U,C,A,I,S,E,Act,Act2 normal
</div>
]
--
count: false
.right-column50[
## New style of app design
<div class="mermaid">
graph TD

U(User) --Implicit Sensing--> C(Context-Aware Application)
S(System) --Implicit Sensing--> C
E(Environment) --Implicit Sensing--> C
C --> Act2(Action)

classDef normal fill:#e6f3ff,stroke:#333,stroke-width:2px;

class U,C,A,I,S,E,Act,Act2 normal
</div>
]

---

.left-column-half[
## Types of Sensors

.right-column-half[
<br><br>
![:img Picture of different sensors, 70%, width](img/sensing/android-sensors.png)

- Which of these are Event Based?
- Which of these are "Sampled"?
]

???

---
.left-column-half[
## Types of Sensors

.right-column-half[
## Contact Tracing
Other than Bluetooth, what sensors might be useful for contact tracing? Why?

]
---
# Sensing: Categories of Sensors

* Motion Sensors
  * Measure acceleration forces and rotational forces along three axes
  * Includes accelerometers, gravity sensors, gyroscopes, and rotational vector sensor
  * Accelerometers and gyroscope are generally HW based, Gravity, linear acceleration, rotation
  vector, significant motion, step counter, and step detector may be HW or SW based
* Environmental Sensors
  * Measures relative ambient humidity, illuminance, ambient pressure, and ambient temperature
  * All four sensors are HW based
* Position Sensors
  * Determine the physical position of the device.
  * Includes orientation, magnetometers, and proximity sensors
  * Geomagnetic field sensor and proximity sensor are HW based

---
# Snapshots vs Fences

Listeners are used to receive sensor or location updates at different intervals
  - This is like taking a snapshot of the sensor or location at a period of time.

Fences (or Geofences) are a way to create an area of interest around
  a specific location. Listener is called any time a condition is true.

---
# 🎟️ Exit Ticket: Contact tracing

Question (answer on [Ed](https://edstem.org/us/courses/38124/lessons/59435/slides/331575)): Would you use Snapshots vs
Fences for the contact tracing app?

--
count: false

Answer : Fence

We want to be notified about *every* contact so we can record it

---
# Sensing: Android Sensor Framework

`SensorManager` - Provides methods for accessing and listing sensors, registering and unregistering
sensor event listeners.

`Sensor` - A class to create an instance of a specific sensor. Can also be used to find a sensors abilities

`SensorEvent` - Contains information about a specific event from a sensor. Includes  the following
information: the raw sensor data, the type of sensor that generated the event, the accuracy of the
data, and the timestamp for the event.

`SensorEventListener` - Used to create callback methods to receive notifications about sensor events.

.footnote[[Sensor Framework](https://developer.android.com/guide/topics/sensors/sensors_overview#sensor-framework)]

---
# Sensor Activity

The following slides are related to the
[Sensing and Location Activity](https://gitlab.cs.washington.edu/cse340/exercises/cse340-sensing-and-location)

Clone this repo if you have not already.

---
# Sensor Activity: SensorManager

Getting the `SensorManager`

```java
SensorManager mSensorManager = (SensorManager) getSystemService(Context.SENSOR_SERVICE);
```

Getting the list of all `Sensor`s from the manager

```java
mSensorManager.getSensorList(Sensor.TYPE_ALL);
```

Getting a `Sensor` from the `SensorManager`. The `Sensor` type is a
[class constant](https://developer.android.com/guide/topics/sensors/sensors_overview#sensors-intro) in `Sensor`

```java
Sensor sensor = mSensorManager.getDefaultSensor(/* type of sensor */);
```

---
# Sensor Activity: Sensor listeners

Create a `SensorEventListener` for use with the callback. For example:

```java
public class SensorActivity extends AbstractMainActivity implements SensorEventListener {
  public void onSensorChanged(SensorEvent event) {
    ...
    switch (event.sensor.getType()) {
      case Sensor.TYPE_AMBIENT_TEMPERATURE:
        ...
      case Sensor.TYPE_LINEAR_ACCELERATION:
      ...
    }
  }
  public void onAccuracyChanged(Sensor sensor, int accuracy) {
    // if Used
  }
}
```

You could use any of the ways to create a callback discussed earlier in this class.

---
# Registering/Unregistering the sensor

Registering is done in `onResume` generally

```java
  Sensor sensor = mSensorManager.getDefaultSensor(/* type of sensor */);
  mSensorManager.registerListener(this, sensor, DELAY);
```

Make sure to unregister the listener in `onPause` so you're not working in the
background (unless that's the expected behavior)

```java
  mSensorManager.unregisterListener(this);
```

---
# End of Deck