You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION

Lab 1 - Smarter Sleep Product Description

Jacob Leith
Old Dominion University
CS410
Professor James Brunelle
April 15, 2023
Version 1

1

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION

Table of Contents
1.

Introduction

2.

Smarter Sleep Product Description
2.1.

Key Product Features and Capabilities

2.2.

Major Components (Hardware/Software)

3.

Identification of Case Study

4.

Smarter Sleep Product Prototype Description
4.1.

Prototype Architecture (Hardware/Software)

4.2.

Prototype Features and Capabilities

4.3.

Prototype Development Challenges

5.

Glossary

6.

References

List of Figures
Figure 1: Major Functional Components Diagram

2

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION

1.

3

Introduction

Sleep is a major part of everybody’s lives, and there are many factors that can affect how
quality your sleep is each night. Thirty two point eight percent of adults in the United States
report getting less than the recommended seven or more hours of sleep per night (Center for
Disease Control and Prevention, 2022). There are many environmental factors for somebody to
manage in order to provide the ideal sleeping and wake conditions, and while there are many
technologies that can assist with this, they all have to be managed separately.
When talking about sleep hygiene, there are few things that can be considered most
important in order to get the best quality sleep. First, ideally you should aim to get at least seven
to eight hours of sleep each night. To facilitate this, you must pay attention to when you need to
be up the next day and plan to go to sleep accordingly. Next, there are a few things that you
should avoid prior to sleep. These include things like using electronic devices withing the last
half hour before you go to sleep, drinking caffeine or alcohol in the afternoon or evening, and
drinking or eating anything more than a light snack within ninety minutes of when you’re going
to sleep (American Academy of Sleep Medicine, 2021). Finally there are the environmental
conditions for your bedroom that you need to take in to account. You should always ensure that
your bedroom is quiet and dark when you’re trying to go to sleep (Centers for Disease Control
and Prevention, 2022). You should also aim to keep your bedroom temperature between sixty
and sixty seven degrees Fahrenheit while sleeping (Pacheco, D. ,2023).
With all of this in mind, getting the proper amount of quality sleep can be difficult on
your own and maintaining good sleep habits can be difficult too. A comprehensive toolset to
assist in preparing for sleep, monitoring the quality of sleep, and providing an effective wakeup
from sleep is needed to help simplify sleep. Optimal sleeping conditions are often reduced to

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mattress or pillow quality, and there are too many environmental factors for an individual to
remember and manage. Poor sleeping habits and conditions are hard to remedy without help, and
manually setting the correct conditions every night can end up feeling like more trouble than it’s
worth.
Smarter Sleep aims to provide an all in one solution to control smart home devices in
order to help control user’s sleep and wake environments, provide proper sleep hygiene
recommendations, help incentivize making proper sleep hygiene a habit, and determining
personalized sleep settings for each Smarter Sleep user. Smarter Sleep’s goal is to help every
user get the best sleep that they can with the help of smart home IOT devices that they already
have.
2.

Smarter Sleep Product Description

Smarter Sleep is a mobile application that helps bring together many IOT smart home
devices to help provide a quality sleep and wake environment to users. By controlling devices
such as smart lights, smart thermostats, and smart alarms, Smarter Sleep can ensure that a user’s
bedroom is at the proper brightness and temperature to get to sleep and stay asleep and the
proper brightness and temperature to wake up to a well timed alarm. Bringing all these devices
together to work for the user under Smarter Sleep’s control allows the user to focus on what they
have to do while they are awake and still help them to get a quality night’s sleep.
Additionally, Smarter Sleep will be able to make general sleep habit recommendations
that the user can follow to take control of the parts of their sleep and wake that technology can’t.
These recommendations will help a user build healthy sleep hygiene habits that will increase the
benefits gained through sleep in conjunction with the technologically controlled aspects that
Smarter Sleep will handle for them. Smarter Sleep will also incentivize building these habits

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with a gamified feedback experience that will push users to continually work on building better
and better sleep hygiene.
Finally, Smarter sleep is not a one size fits all solution and will continually adjust how it
works for each user to help provide them personalized settings so they can get the best night’s
sleep for them. By keeping track of a user’s sleep history through subjective review from the
user and data from smart wearable devices when available, Smarter Sleep will be able to
recommend personalized sleep and wake settings to help each user get the sleep they need how
they need it. Along with this, the tracking of a user’s sleep over time can be used in conjunction
with the gamified feedback experience to challenge the user to focus more on specific parts of
their sleep hygiene that they are found to be lacking in.
2.1.

Key Product Features and Capabilities
Smarter Sleep works with a user’s schedule that they setup. This schedule as defined by

the user is used to recommend when the user should be aiming to go to sleep, and then when the
Smarter Sleep application will aim to wake them up. Scheduled processes will be broken up in to
two categories. First are the scheduled processes for a user’s sleep. These processes will include
dimming the lights of the bedroom as the user is winding down for sleep until they are off when
the user should be going to sleep and maintaining a cooler temperature in the user’s bedroom as
they’re going to sleep and sleeping. The next set of scheduled processes are for waking the user
up peacefully in the morning. These processes will include gradually brightening the lights of the
bedroom until they are fully on as the user’s alarm is going off, bringing the temperature of the
user’s bedroom up to their preferred daytime temperature by the time their alarm goes off, and
setting the alarm that will attempt to wake the user on time for their day.

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In the case of setting a user’s alarm, Smarter Sleep will always set off an alarm at least by
the time the user has declared they need to be up each day, but if the user has a connected
compatible smart wearable device that provides sleep stage tracking capabilities, Smarter Sleep
will adjust when it sets a user’s alarm based on historical data of the user’s sleep patterns. The
target devices that Smarter Sleep will be able to make use of for this purpose are Fitbit devices
with sleep tracking capabilities (not all Fitbit models support this feature) and Oura smart rings.
If one of these devices is connected to Smarter Sleep, the application will be able to learn over
time what the user’s sleep patterns look like and will attempt to wake them up on time, but in one
of their lighter sleep stages so they get the most rejuvenation from their night of sleep. This
means that in some cases Smarter Sleep might wake a user up earlier than they might have set
their own alarm, but in doing so the user will wake up more peacefully than if they were to be
awoken by an alarm while in the middle of a deeper sleep stage.
Along with the interaction with smart IOT devices, Smarter Sleep will have more simple
features to help users make the most out of each night of sleep in the form of sleep hygiene
recommendation it can provide a user. The recommendations can come in the form of reminding
them that they should stop using electronic devices within a certain range of their target bedtime
or recommending that they plan to have their last meal before a certain time each night. These
recommendations will be things that Smarter Sleep will not be able to control through smart IOT
devices, but that will still have an impact on the quality of a user’s sleep each night.
To assist user’s in maintaining proper sleep hygiene as described in the recommendations
that they will receive, Smarter Sleep will also provide a gamified feedback system that will
interact with the user and help to keep them on track. Each day, Smarter Sleep will request that
the user fill out a subjective survey on how they feel their sleep was the last night as well as

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request information on how well a user stuck to the sleep hygiene recommendations that Smarter
Sleep provided them. This survey will be used by smarter sleep for multiple purposes, but one of
these purposes will be the gamified feedback system. The gamified feedback system will provide
users a way to set personal sleep goals as well as a way to track their progress in sticking with
these goals and the recommendations that the application sets for them. After the Smarter Sleep
system reviews a user’s sleep each day from a combination of their daily survey and any
available wearable data, the gamified feedback system will provide the user an easy way to view
their progress and will award them points based on how well they followed their own goals as
well as those set by the application. The system will also notify the user of any areas where they
need improvement in their sleep hygiene and will provide bonus points as incentive to focus on
those shortcomings over the next few days to help the user form better sleep hygiene habits.
The other system of Smarter Sleep that will take the user’s daily survey into account is
the settings recommendation system. Smarter Sleep considers how a user feels about a night of
sleep subjectively along with data from available smart wearable devices to recommend
adjustments to a user’s sleep schedule settings through a personalized machine learning
algorithm. By looking at how rested a user feels after a night of sleep along with available sleep
stage tracking from smart wearable devices, Smarter Sleep will be able to recommend
adjustments to the timing of sleep and wake processes as well as potential fine tuning to settings
such as the dimming rate of smart lights and the temperature of the bedroom for sleep and wake.
2.2.

Major Components (Hardware/Software)
Smarter Sleep has minimal hardware requirements for the user but can support a much

larger feature set with the addition of some optional hardware. To use Smarter Sleep, a user must
have either an Android mobile smart device capable of running Android 10.0 or newer with

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION

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internet access or an iOS mobile smart device capable of running iOS 16.0 or newer. With this
minimum requirement met, a user will have access to sleep hygiene recommendations and
interactive feedback based on the daily user survey. If the user would like to interact with the
smart IOT functions of Smarter Sleep, the Smarter Sleep experience can be further enhanced
with the addition of smart lights or a smart thermostat with Google Assistant, iOS Siri, or
Amazon Alexa compatibility. To even further the Smarter Sleep experience, a user can interact
with the smart personalized settings learning with the addition of a Fitbit device capable of sleep
monitoring or an Oura smart ring.
The backend of Smarter Sleep will rely heavily on cloud computing capabilities provided
by AWS. Smarter Sleep’s backend will feature an AWS hosted SQL database running in
conjunction with AWS Cognito for user account security and AWS S3 for data object storage, as
well as AWS EC2 to run the functional software that will process the required backend tasks
including the machine learning process and automation scheduling. The Smarter sleep back end
will handle requesting information from the APIs of available smart wearables from Fitbit or
Oura as well as the processing of the daily survey along with this data if available. The processed
data will be used to provide a review of a prior night for the user in the gamified feedback
portion of the application as well as recommendations for new sleep and wake environmental
settings. This review and the recommended sleep and wake settings will be provided to the user
through the mobile application and any approved settings changes, as well as any existing sleep
and wake scheduling that hasn’t changed, will be scheduled by the back end and sent to the front
end application. All control of smart home devices will be done from the user’s mobile device
through the front end application using an API from either Google Assistant, iOS Siri, or
Amazon Alexa based on the schedule provided by the back end.

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION

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Development of the Smarter Sleep system will take place using Flutter, Android Studio,
and XCode to build a multi-platform mobile front end application, and both the front and back
end development will use GitHub to for version control and build deployment. The database will
use SQL to manage storage and retrieval of user and device data. A collection of programming
languages will be used throughout the development of Smarter Sleep including but not limited to
Dart for mobile application development, SQL for database control, and C# for the back end
process development.
Figure 1
Major Functional Components Diagram

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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3.

Identification of Case Study

Smarter Sleep is designed with technologically inclined sleep conscious individuals in
mind as the primary users. Additionally, while Smarter Sleep is not a medical platform, Smarter
Sleep can be used by medical professionals as a supplemental tool to guide sleep-deprived
patients to make better sleep hygiene habits and take parts of the sleep and wake processes out of
their hands. Smarter Sleep will use smart technologies to help provide users a complete way to
manage, monitor, and incentivize improving their sleep cycle and sleep hygiene.
Smarter Sleep’s goal is to help users take the guesswork out of preparing for and waking
up from sleep while providing them with guidance on how they can make some simple lifestyle
choices in the evening and after they wake up to get the most out of their sleep. The Smarter
Sleep system will help users build these lifestyle choices into healthy sleep hygiene habits
through the use of gamified feedback, inspiring and incentivizing users to take better control of
their sleep and wake routines, while Smarter Sleep creates ideal sleep environments for users
through the scheduled control of smart home IOT devices.
4.
4.1.

Smarter Sleep Product Prototype Description

Prototype Architecture (Hardware/Software)
● Hardware
○ Android based device version 10.0 or newer
○ iOS based device version 16.0 or newer
● Software
○ Flutter
○ Android Studio
○ XCode

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
11

○ Git / GitHub
○ SQL (Local File)

4.2.

Prototype Features and Capabilities
● Front-End
○ Login Screen
■ Sign-Up
■ Login
○ Home Screen
■ Dashboard
■ Game
○ Settings
■ User Specific Settings
■ Terms and Conditions
■ Privacy Policy
■ Help / Contact?
■ Logout
○ Stats Screen
■ Sleep Score
■ Sleep Stage Chart
■ Sleep time
○ Virtual Assistant Screen
■ Virtual assistant image

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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○

Sleep Settings Screen
■ Temperature Control
■ Light Control
■ Sound control

● Back-End
○ Dummy wearable API calls
○ User Sleep Settings Machine Learning Algorithm
○ Users’ preferences and account storage
4.3.

Prototype Development Challenges
● Demonstrating IOT connection to demo users without IOT devices
● Demonstrating front end and back end connectivity without true server

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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5.

Glossary

Android: Google’s mobile operating system
Android Studio: The official integrated development environment for Google’s Android
operating system
Amazon Web Services (AWS): An IT infrastructure service providing on-demand cloud
computing platforms and APIs
AWS Cognito: An AWS system that provides secure customer identity and access management
allowing for controlled access to web and mobile applications
AWS Elastic Compute Cloud (AWS EC2): An AWS system that provides resizable compute
capacity for cloud computing workloads
AWS Simple Storage Service (AWS S3): An AWS system that provides secure high
performance data object storage
Back-End: Behind-the-scenes layer of application that stores data and adds deeper functionality
to the program
Flutter: Flutter is a UI software development kit for building natively compiled mobile, web,
and desktop applications from a single codebase
Front-End: The presented layer of an application
Git: Git is a free and open source distributed version control system
GitHub: GitHub is a service that provides hosting and version control for software development
projects
iOS: Apple’s mobile operating system

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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Internet of Things (IOT): The network of physical objects that are embedded with sensors,
software, and other technologies for the purpose of connecting and exchanging data with other
devices and systems over the internet
REM: Rapid Eye Movement
Sleep Duration: The total amount of time asleep minus any arousals during the night
Sleep Efficiency: The ratio of the amount of total time asleep versus the total time in bed
Sleep Hygiene: A series of healthy sleep habits that can improve your ability to fall asleep and
stay asleep
Sleep Inertia: The grogginess felt upon awakening that can leave you feeling as if you still need
more sleep
Sleep Latency: The time it takes to transition from a state of wakefulness to sleep
Sleep Quality: An individual's self-satisfaction with all aspects of the sleep experience in
relation to sleep efficiency, sleep latency, sleep duration, and wake after sleep onset
Smart Device: An electronic device, generally connected to other devices or networks via
different wireless protocols
Structured Query Language (SQL): A standardized programming language that is used to
manage relational databases and perform various operations on the data in them
Wake After Sleep Onset: The total amount of wake time after sleep onset until final awakening
XCode: The official integrated development environment for Apple’s Apple operating systems

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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6.

References

Centers for Disease Control and Prevention. (2020, April 1). Creating a good sleep
environment. Centers for Disease Control and Prevention. Retrieved February 14,
2023, from https://www.cdc.gov/niosh/emres/longhourstraining/environment.html
Centers for Disease Control and Prevention. (2021, March 12). Do you get enough sleep?
Centers for Disease Control and Prevention. Retrieved February 14, 2023, from
https://www.cdc.gov/chronicdisease/resources/infographic/sleep.htm
Chattu, V. K., Manzar, M. D., Kumary, S., Burman, D., Spence, D. W., & PandiPerumal, S. R. (2018, December 20). The global problem of insufficient sleep and
its serious public health implications. Healthcare (Basel, Switzerland). Retrieved
February 14, 2023, from
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473877/
Suni, E. (2022, November 3). Sleep deprivation: Causes, symptoms, & treatment. Sleep
Foundation. Retrieved March 7, 2023, from
https://www.sleepfoundation.org/sleep-deprivation
Centers for Disease Control and Prevention. (2022, November 2). Adults - sleep and
sleep disorders. Centers for Disease Control and Prevention. Retrieved February
20, 2023, from https://www.cdc.gov/sleep/data-and-statistics/adults.html
Johns Hopkins Medicine. (n.d.). Health Risks of Poor Sleep. Risks of Poor Sleep.
Retrieved February 20, 2023, from
https://www.hopkinsmedicine.org/health/wellness-and-prevention/health-risks-ofpoor-sleep

LAB 1 - SMARTER SLEEP PRODUCT DESCRIPTION
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Hilditch, C. J., & McHill, A. W. (2019). sleep inertia: Current insights. Nature and
Science of Sleep, Volume 11, 155–165. https://doi.org/10.2147/nss.s188911
Nelson, K. L., Davis, J. E., &amp; Corbett, C. F. (2021). Sleep quality: An evolutionary
concept analysis. Nursing Forum, 57(1), 144–151.
https://doi.org/10.1111/nuf.12659
OneCare Media, LLC. (2022, July 8). Stages of sleep: What happens in a sleep cycle.
Sleep Foundation. Retrieved January 21, 2023, from
https://www.sleepfoundation.org/stages-of-sleep
American Academy of Sleep Medicine. (2021, April 2). Healthy sleep habits. Sleep
Education. Retrieved March 7, 2023, from https://sleepeducation.org/healthysleep/healthy-sleep-habits/
Pacheco, D. (2023, March 2). The best temperature for sleep: Advice &amp; tips. Sleep
Foundation. Retrieved March 27, 2023, from
https://www.sleepfoundation.org/bedroom-environment/best-temperature-forsleep
Centers for Disease Control and Prevention. (2022, September 13). Tips for better sleep.
Centers for Disease Control and Prevention. Retrieved March 27, 2023, from
https://www.cdc.gov/sleep/about_sleep/sleep_hygiene.html
</reference>

<statements>
1. Concepts like "Smarter Sleep" highlight applications that orchestrate smart lights, thermostats, and alarms based on sleep hygiene recommendations and real-time sleep state, using data from bed sensors or wearables to adjust wake times and environment conditions. Commercial reviews and consumer coverage point to rapid product iteration around smart mattresses, bed sensors, and non-wearable trackers, with major ecosystems (e.g., Google Nest Hub) already positioned as sleep-aware smart home hubs.
2. Bedroom-centric sleep systems (smart mattresses, bed sensors, bedside lamps) that fuse contactless monitoring with environment automation and analytics, integrated via standards like Matter.
3. Contactless sleep tracking devices, smart mattresses, and bedroom‑oriented lamps that integrate sensing with environment control are expected to define a key growth area, driven by consumer interest in sleep optimization and the convenience of non‑wearable solutions. Future products will likely couple high‑fidelity sleep staging and health metrics with orchestration of lighting, temperature, sound, and alarm timing, using smart home platforms rather than siloed apps.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.