Review: IoT Data Logging Services With MQTT

October 31, 2017 by Sean Boyce 11 Comments

For the last few months, I had been using Sparkfun’s Phant server as a data logger for a small science project. Unfortunately, they’ve had some serious technical issues and have discontinued the service. Phant was good while it lasted: it was easy to use, free, and allowed me to download the data in a CSV format. It shared data with analog.io, which at the time was a good solution for data visualization.

While I could continue using Phant since it is an open-source project and Sparkfun kindly releases the source code for the server on Github, I thought it might be better to do some research, see what’s out there. I decided to write a minimal implementation for each platform as an interesting way to get a feel for each. To that end, I connected a DHT11 temperature/humidity sensor to a NodeMCU board to act as a simple data source.

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Hackaday Prize Entry: Personal Guardian Keeps An Eye Out

October 8, 2017 by John Baichtal 14 Comments

The Personal Guardian is a wearable tracking and monitoring device intended to help vulnerable people. The project goal is to allow these patients as much independence and activity as possible without a caregiver needing to be present. Wearing a sensor package might allow a memory care patient (for instance) greater freedom to wander.

The device consists of an Arduino 101 development board with a GSM shield that it uses to send SMS messages to the caregiver — for instance, if the accelerometer shows the patient fell over, or moved beyond certain GPS coordinates. Furthermore, the care-giver can monitor the device to determine the device’s status, and sees the patient’s heart rate thanks to a BLE sensor strap.

The patient can also press a panic button or toggle through a series pre-set SMS messages. In terms of complexity, the project’s creator [Ray Lynch] intended the interface to be simpler than a smart phone.

Hackaday Prize Entry: Fochica Alerts You

August 26, 2017 by John Baichtal 8 Comments

It seems like no one should need to be reminded about the importance of not leaving children in cars, but it still happens. The Fochica project is a Hackaday Prize entry that equips the family minivan with car seat monitors—the name comes from FOrgotten CHild in Car Alert.

It’s an Open Source project consisting of a Bluetooth LE-equipped Arduino that monitors whether the seat is empty or occupied. Paired with a phone app, Fochica monitors pressure sensors and the seat belt’s reed switch to determine whether there’s a kid there. The user’s app checks whether he or she is within Bluetooth range of the car, while also checking whether the kid’s seat is occupied. When the first comes up false and the second true, an alert is sounded.

We could see this technology also being useful for home automation tasks–for instance, reminding you to close the garage door before you go to bed. It’s a great project, and also one of the finalists in the Best Product challenge of the Hackaday Prize this year.

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Sense All The Things With A Synthetic Sensor

May 19, 2017 by Dan Maloney 44 Comments

What will it take to make your house smarter than you? Judging from the price of smart appliances we see in the home centers these days, it’ll take buckets of cash. But what if you could make your home smarter — or at least more observant — with a few cheap, general purpose “supersensors” that watch your every move?

Sounds creepy, right? That’s what [Gierad Laput] and his team at the Carnegie Mellon Human-Computer Interaction Institute thought when they designed their broadband “synthetic sensor,” and it’s why they purposely omitted a camera from their design. But just about every other sensor under the sun is on the tiny board: an IR array, visible light sensors, a magnetometer, temperature, humidity, and pressure sensors, a microphone, PIR, and even an EMI detector. Of course there’s also a WiFi module, but it appears that it’s only for connectivity and not used for sensing, although it clearly could be. All the raw data is synthesized into a total picture of the goings on in within the platform’s range using a combination of machine learning and user training.

The video after the break shows the sensor detecting typical household events from a central location. It’s a powerful idea and we look forward to seeing how it moves from prototype to product. And if the astute reader recognizes [Gierad]’s name, it might be from his past appearance on these pages for 3D-printed hair.

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Hacklab’s Logo Changes With The Habitat Of A Beet Plant

May 12, 2017 by John Baichtal 2 Comments

Zaragoza, Spain hacklab La Remolacha (“The Beet”) sports a logo which responds to human interaction with a beet plant growing in the space. Sensors keep track of temperature as well as humidity for both air and ground, while buttons add more water, plant food, light, and music.

The shape and activity of the visualization responds to the sensors. The higher the temperature, the more folds in the shape. More distortions appear when there’s more humidity in the soil, while rotation speed increases with air humidity. Adding food increases the size of the visualization, and music triggers more vibrations.

An Arduino keeps track of the buttons and humidity sensors, while a nearby computer, connected via USB, sends the data to a node.js server. The data are displayed on the website through the torus visualization, which is done in WebGL.

The beet’s environment also signals the health of the space, because if no one is visiting, no one can feed the plant. On the other hand, could too many visitors actually kill the thing?

The project was created by [Innovart], [Miguel Frago], and [Santi Grau] with help from other folks.

Thanks [Esther Borao Moros] for the tip!

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TOBE: Tangible Out-of-Body Experience With Biosignals

February 6, 2017 by Pedro Umbelino 7 Comments

TOBE is a toolkit that enables the user to create Tangible Out-of-Body Experiences, created by [Renaud Gervais] and others and presented at the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction. The goal is to expose the inner states of users using physiological signals such as heart rate or brain activity. The toolkit is a proposal that covers the creation of a 3D printed avatar where visual representations of physiological sensors (ECG, EDA, EEG, EOG and breathing monitor) are displayed, the creation and use of these sensors based on open hardware platforms such as Bitalino or OpenBCI, and signal processing software using OpenViBE.

In their research paper, the team identified the signals and mental states which they have organized in three different types:

States perceived by self and others, e.g. eye blinks. Even if those signals may sometimes appear redundant as one may directly look at the person in order to see them, they are crucial in associating a feedback to a user.
States perceived only by self, e.g. heart rate or breathing. Mirroring these signals provides presence towards the feedback.
States hidden to both self and others, e.g. mental states such as cognitive workload. This type of metrics holds the most
promising applications since they are mostly unexplored.

By visualising their own inner states and with the ability to share them, users can develop a better understating of their own selves as well others. Analysing their avatar in different contexts allows a user to see how they react in different scenarios such as stress, working or playing. When you join several users they can see how each other responds the same stimuli, for example. Continue reading “TOBE: Tangible Out-of-Body Experience With Biosignals” →

Smart Sutures

September 27, 2016 by Al Williams 4 Comments

Researchers at Tufts University are experimenting with smart thread sutures that could provide electronic feedback to recovering patients. The paper, entitled “A toolkit of thread-based microfluidics, sensors, and electronics for 3D tissue embedding for medical diagnosis”, is fairly academic, but does describe how threads can work as pH sensors, strain gauges, blood sugar monitors, temperature monitors, and more.

Conductive thread is nothing new but usually thought of as part of a smart garment. In this case, the threads close up wounds and are thus directly in the patient’s body. In many cases, the threads talked to an XBee LilyPad or a Bluetooth Low Energy module so that an ordinary cell phone can collect the data.

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