Meanwhile, we remain trapped in two countries. Each one is split by two narratives—Smart and Just on one side, Free and Real on the other. Neither separation nor conquest is a tenable future. The tensions within each country will persist even as the cold civil war between them rages on.

Smart farming or precision farming is an approach to integrate the latest technology advancements with the world’s oldest industry. It’s the perfect amalgamation of two different worlds, and IoT devices are at the core of this revolution.

Amazon Alexa app is used to set up Alexa-enabled devices. Commands to the apps are the skills; it runs the gamut from raising the temperature on a thermostat to playing a particular song for your everyday mood.

the dairy farmers are having a hard time managing their cattle and keeping their farms a profitable venture. So, we are here talking about the ways to leverage smart dairy farming using IoT. Let’s explore how livestock management becomes easier and more profitable with IoT technologies.

With the web API, you can only pull data at rest, meaning you'll need to sync your Sense to the Fitbit app before you can fetch the data. The endpoint you'd use to fetch this data is the Intraday Heart Rate Time Series endpoints. If you'd like to test this endpoint, you can do it with the Fitbit API Explorer.    If you're looking to fetch real-time/raw data with 1sec detail level, you'll want to use the Device API and SDK to create a clock face. You can get further assistance from other developers and our moderators in the SDK forum here.

Wearable sensor management Controls and tracks accelerometer for movement and ECG/PPG for heart rate measurements.

Heart Rate Monitor LED Green Sensor The Heart Rate Monitor (HRM) LED green sensor measures the amount of green light that is reflected back from a person's blood vessel. The following table lists the measurement data that the HRM LED green sensor provides.

Wear OS is a smartwatch operating system created and maintained by Google. It was announced on March 18, 2014 as Android Wear, only to be rebranded as Wear OS on March 15, 2018. Wear OS is an Android-based operating system that receives semi-regular feature and security updates, just like the version of Android that powers billions of smartphones around the world.

The data is queried directly from your Fitbit account and inserted into Google Fit. To do this, you must first log in with your Fitbit account and give FitToFit access to the data that you want to transfer. You will then be asked to connect to your Google account, into which the data from Fitbit should be inserted.

The Google Fit APIs for Android are part of Google Play services. The Google Fit APIs are supported on Android 4.1 (API level 16) and higher. Using these APIs, your app can do the following: Read near-real-time and historic data, including data from Bluetooth Low Energy (BLE) devices. Record activities. Associate data with a session. Set fitness goals.

Sensors API

As mentioned before, sensors such as the Empatica provide some raw data (E.g. raw PPG), although the cost is very high (around $ 1700 US). Moreover, smartwatches such as the Moto360 or the LG G Watch R can be programmed to provide HR data. However, you should consider that this is preprocessed data (from manufacturers) and we just have access to the processed data (not the raw PPG). Therefore, if you wanted to make things such as Heart Rate Variability analysis, this approach is not highly accurate. I have been working with the Polar Chest Band (H7) and it seems that we can access both HR and RR-interval data with an Android app (currently working in an APK to extend it in our PhysioVR framework).

How to download all of your raw fitbit data

Access raw sensor databookmark_border Table of contentsList available data sourcesAdd a listenerRemove a listener The Sensors API lets you read raw sensor data in your app in real time. Use this API to do the following: List data sources that are available on the device and on companion devices. Register listeners to receive raw sensor data. Unregister listeners so that they no longer receive raw sensor data.

The PPG data were collected with Huawei Watch 2

Depends on vendor, it would be possible to access the raw ppg signal of wear os sensor, should you have access to sensor hardware driver. Some researchers did analysed PPG raw signal from Huawei watch 2 and here is the paper.

Each Fitbit device includes a variety of hardware sensors that have been exposed through our Sensor APIs.

Unfortunately this is not available via an API at this time.

Use Samsung's SDK and it will give you the raw values (values range from 0 to ~64600 if I remember correctly).

This is a simple application I slapped together for the heart rate data that I captured here from the Apple Watch.

Third party apps do not have direct access to the heart rate sensor.

In accordance with Appleʼs approval of the study

onWristA value that indicates whether the watch is on the user’s wrist.

The sensors an app can read.

You can use HealthKit and have your app request access to the Blood Oxygen data (HKQuantityTypeIdentifierOxygenSaturation)You can find out more about the HealthKit framework here: https://developer.apple.com/documentation/healthkit

as far as I know there is no way to access the raw PPG from the watch

A Flutter plugin to access the PPG sensor.

7 This answer is not useful Show activity on this post. I spent some time figuring out if it's feasible to get the raw PPG signal from android API, and contrary to what some may say, it is definitely possible to do that. And here is how to do it:

How to Take Smart Notes

L’outil SMART peut aider à la rédaction des objectifs.SMART est un acronyme qui reprend les critères auxquels doit répondre un objectif : S : spécifique (l’objectif concerne une population spécifique – les élèves de tel établissements, de telle niveau de classe...)M : mesurable (on doit pouvoir quantifier ce qui est mis en œuvre – en terme de % par exemple)A : ambitieux (l’objectif doit viser un changement certain)R : réaliste (l’objectif doit rester pragmatique et de l’ordre du faisable) T : temporalité (l’objectif doit être inscrit dans une durée, c’est-à-dire avoir un début et une fin)

# +devise_for+ is meant to play nicely with other routes methods. For example, # by calling +devise_for+ inside a namespace, it automatically nests your devise # controllers: # # namespace :publisher do # devise_for :account # end

find_field finds by id, name or placeholder text - so find_field('Prefix') should find the element with matching placeholder text rather than needing xpath.

ransformative economic model for artists via NFT contracts. This is perhaps my favorite advantage of all — the ability for artists to automatically gain a percentage of every sale of their work in the secondary market in perpetuity. I mean, can you imagine!? Artists can evolve from getting ~50% of the initial acquisition price of their work in a gallery to a new world where they get 80%+ (depending on marketplace they use) of the proceeds on their initial sale plus 10–15% of every secondary sale forever! Imagine the families of artists anywhere receiving residuals for generations much like the world's greatest bands as their work continues to grow in value and trade hands. F----ng transformative.

A smart contract is a piece of special purpose code executing a complex set of instructions on the blockchain. It's a means of codifying the terms of a deal in software. Now, this could be a business deal between producers and consumers, or it could be a social pact between a government and its citizens. What's important here is this, smart contracts ensure contractual compliance. They hold parties accountable. The blockchain provides a high degree of certainty as to the outcome of these agreements. Oh and smart contracts self-executing without the need for intermediaries like banks are governments and frankly, we've never had that kind of assurance before.

To defeat facial recognition software, “you would have to wear a mask or disguises,” Tien says. “That doesn’t really scale up for people.”

Instead of having a task like “write an outline of the first chapter,” you have a task like “find notes which seem relevant.” Each step feels doable. This is an executable strategy (see Executable strategy).

Ericsson claims (2016, p. 98) that there is no deliberate practice possible for knowledge work because there are no objective criteria (so, poor feedback), because the skills aren’t clearly defined, and because techniques for focused skill improvement in these domains aren’t known.

This is a perfect environment for gold to take center stage. Fanatical debasement of moneyby all of the world’s central banks, super-low interest rates and gold mine operation and extractionissues(to a large extent related to the pandemic)should create a fertile ground for this most basic of all money and storesof value to reach its fair value, which we believe is literally multiples ofits current price. In recent months,goldhas gone up in price to some degree, but we think that it is one of the most undervalued investable assetsexisting today. There is nothing else that has its historical and fundamental characteristics,and we think that itis only beginning its inexorable, but 11impossibletotimeand placeboundaries around, uptrend.The fact that it is so under-ownedby institutional investors is astonishing to us in light of the obsessively inflationary policies being pursued by central banks around the world

The potential opportunity setis primarily in credit. Of course,equities thathave fallen 20%, 30%or50% in a very short time can provide substantial upside, but in periodslike this one, we prefer the additional downside protection of carefullyresearched debt. The Holy Grail(which presented itself in size in 2008)is to have credit positions in which we have so much confidence andwhich have so muchconvexity (asymmetric return profiles; much more upside than downside) that hedges are either not needed or can be relatively small.A great example wasauto finance unsecured debt in 2008, which at the bottom was trading at levels thatanticipated many more defaults than at any time in history.Such credit positions fell in priceto many points below our “scientificallyderived”bedrock-bottom prices, but we had a lot of confidence in the ultimate repayment of the debt

While it is near-universally believed that the global, particularly the American, economy was humming on all cylinders before being slugged flat by the virus, we believed that the pre-virusfinancialassets landscape was toward the high end of the riskiness scale. The record-high global leverage, the record-low government-manipulated interest rates, the $20 trillion of purchased bonds and stocks still on the books of the major central banks from the non-stop emergency policies pursued for 10 years after the emergency was over, presented a highly risky and unsound picture. It is on thatterrainthat the virus landed.

Forecast end-user spending on IoT solutions worldwide from 2017 to 2025

Market value of smart grids worldwide from 2017 to 2023

Hypothesis considers a "close enough match" to be a success and does NOT place the corresponding annotation in the Orphan category, thus creating a false positive.