In order to improve the quality of life, people wear a variety of wearable devices on their bodies. However, the quality of the living environment is equally important. CubeSensors is a sensor-equipped device that monitors external environmental factors to help improve user quality and productivity while working with Jawbone or Fitbit Tracker to further improve sleep quality. Sharpening the knife without cutting the wood, good sleep can bring higher work efficiency. Now let's see how these small squares help us achieve these wishes.
The wirelessly designed CubeSensors are full of fashion, and the low-key cubes can be placed in multiple rooms, so users don't have to worry about conflicts with their home style. Once in place, these small squares monitor the surrounding environment through the sensor array, including air quality, temperature, humidity, noise, light and air pressure. It will give advice based on what the user intends to do in the room, by flashing lights, or by web application to give details.
The product comes with a microUSB power adapter, a base unit for connecting to the router via an Ethernet cable, and a CubeSensors body and a microUSB charging cable. CubeSensors can continue to work for a month on a single charge. CubeSensors can be purchased in groups of 2, 4 or 6 depending on the number of rooms and the items the user wants to monitor. In the actual test, the tester placed the device in the bedroom, living room and office.
The setup steps are simple and friendly, making the whole process easy and natural. The user simply connects everything in place and then sets up the site to complete the remaining steps. In the process, the user needs to name each box, specifying the type of environment in which it is located—life (general living space), work (office space), and sleep (bedroom). The equipment is referenced and monitored based on the best indoor space comfort and the best office environment.
If the user sets one of the CubeSensors to the "sleep" state, the product can be paired with the sleep tracker Fitbit or Jawbone. This will allow users to read data from the fitness tracker at CubeSensors and identify the problem by comparing temperature, humidity and light data during periods of poor sleep quality. In this way, the user can not only know the number of wake-ups at night, but also find the reason behind it.
In the actual test, the testers not only impressed the rich data types that CubeSensors can monitor, but also found that unlike other products, this product does not require continuous user attention. Unless the user wants to see more details through the web application, in most cases, CubeSensors are just silently staying in the corner of the room, only by shaking or tapping them to wake up. They then prompt the current status with different light colors, blue means everything is OK, and red indicates something went wrong and the user needs to check the application for confirmation.
In the web application interface, users can view real-time monitoring data. The application intuitively describes the current situation of each project through different expressions from bitter face to smiley face. Users can also view the trend of related data within 24 hours.
In addition to viewing the data, users can also see practical suggestions from the app, such as "open the window as soon as possible" or "lifting the temperature will make you feel more comfortable." Although it may seem unremarkable, the team behind CubeSensors said that through these small suggestions, the product can help users avoid symptoms such as colds, allergies, headaches and so on.
Testers found that the information given by CubeSensors was more useful than expected. For example, the product suggests that the temperature in a living room is a bit low, and if the temperature is raised properly, it will make people feel more comfortable and relaxed. In the office, CubeSensors suggests that improving lighting conditions can help increase productivity. In the bedroom, the product gives advice on the need to open windows to improve air quality.
Testers were also impressed by the ability of CubeSensors to work with the fitness tracker and use the latter's data for sleep environment analysis. In actual measurement, the tester uses FitbitChargeHR CubeSensors pairing scheme, which can be divided into the tracking data "is waking up", "half awake" and "sleep" in three different time periods, in order to better grasp the user.
Of course, CubeSensors are not perfect. The biggest problem is that the current information can only be traced back 24 hours, and users cannot analyze various data or problems in a longer period. Another problem is that the measurement of environmental standards is relatively fixed. The air quality in cities is obviously not comparable to that of rural areas. The former cannot be solved by window ventilation.
Another area worth improving is that the product model needs to be manually switched. It would be better if you could automatically switch between sleep and life/work based on the clock.
In addition, CubeSensors integrates its data with data from the activity tracker. If combined with other wearable sensor products, users can know their own and the surrounding environment and make their own judgments and actions.
Vendors said that updates will be introduced to help users trace back more historical data. At the same time, it will increase its support for IFTTT later this year to work more perfectly with other smart home products than just environmental tracking.
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