Which sleep tracker is your dish?

Release date: 2016-02-19

Jawbone Up2

Amber (public number: ianpocom)

Xiaobian tried five sleep tracking devices in a week. Please follow me to see how these devices perform.

Xiaobian himself has been obsessed with tracking his sleep patterns. Tracking sleep patterns has always been the best thing that Xiaobian can do, compared to step counting, calculating exercise volume, and calorie burn. Because Xiaobian himself has some sleep problems: I stubbornly think that I should sleep at least 7 hours a day, but in fact the average sleep time per day is only 6.5 hours, although Xiaobian’s body is not tired because of lack of sleep time, but The hurdle in my heart is always going to pass. This is probably why I am so obsessed with tracking my sleep patterns.

Xiaobian originally used a wristband wearable device to track his sleep mode. With more and more similar products on the market, Xiaobian also wants to compare whether there are differences between different sleep tracking devices. To this end, Xiaobian trial (test sleep - -) several popular products on the market, these products work differently. Let's follow the small series together to see what they have in particular.

What kinds of equipment?

Xiaobian selected five wearable products on the market, respectively

1. Jawbone Up2

2. Microsoft Band 2

3. Fitbit Charge HR

4. Beddit Sleep Monitor Classic

5. SleepBot

First of all, Jawbone is a bracelet that Xiaobian has always liked. Unless it needs to be removed, it basically does not leave, in the process of using, Xiaobian found that its measurement data is very accurate. Some time ago, I wrote an article about Jawbone's performance in sleep tracking. In this test, Xiaobian used it as a benchmark for comparing the accuracy of other watches. From the appearance and feel, Jawbone is very light in weight and has a strong battery life. What is lacking is that it does not have a display and buttons, and users need to use the App to obtain data and switch detection modes.

Microsoft Band 2

Microsoft Band 2 has just started in Australia, so Xiaobian has been testing this product recently. First of all, Xiaobian must admit that the accuracy of this bracelet in health tracking and motion detection is quite good; in terms of hardware, Microsoft Band 2 has ingeniously added UV sensors. For Australian users, this is a big one. Gospel. Unfortunately, Band 2's battery life is not excellent, a single charge can only support less than two days of use, and its size is too large, even exceeding the size of the Charge HR.

Fitbit Charge HR

Fitbit Charge HR is a very popular bracelet on the market. It is undeniable that Fitbit has always been a leader in the field of wearable devices. The brand Fitbit has been directly linked to “health tracking devices” in the hearts of many consumers. Draw an equal sign.

Beddit

The Beddit device, Xiaobian, has been curious about it since I first heard about it last year. This special sleep tracking device is directly mounted on the mattress of the user's home, which is very different from ordinary wearable devices. In this test, Beddit is the most restricted use scenario.

SleepBot

Xiaobian The last product of this test, SleepBot, is actually a sleep tracking app. It uses an accelerometer that already exists in the user's phone to track the user's sleep patterns, rather than relying on new wearable hardware devices. Xiaobian has always been a fan of the Android operating system. This SleepBot is downloaded from the Google Play Store. It is a completely free app with an alarm clock.

Test content

The devices mentioned above are capable of detecting the user's daily sleep time, and they are able to analyze the user's effective sleep time per day based on the user's movement data during sleep.

Both Beddit and SleepBot know if the user is snoring: Beddit uses a powerful sensor to detect the breathing rhythm of the user's sleep to analyze whether it is snoring, while the SleepBot app uses the mic port of the phone to detect whether there is a snoring. sound.

Fitbit Charge HR and Microsoft Band 2 are equipped with heart rate monitoring devices that let users know their heart rate during sleep. Beddit also has this detection feature, in addition, it can detect the number of breaths per minute the user has. After all the detected physiological data of the user is analyzed, the user's sleep condition will be scored, which allows the user to see the level of physical function quantified by his or her sleep mode from another perspective.

Same night sleep data from left to right: Microsoft Band 2, Jawbone Up2, Beddit

Xiaobian's new discovery

Xiaobian spent a week trying out these devices and comparing the data they detected every morning. Here are some of the feelings of Xiaobian:

1. Too many devices are also a headache: If you think you are a person who can sleep in bed, the fact may not be the case. In order to test these devices, Xiaobian put his own mobile phone on the bed to facilitate the work of SleepBot. The result is that my Nexus 6P phone is always kicked out of bed by me. It seems that Xiaobian is not as honest as I thought when I was sleeping.

2. Size is important: Due to the size, the wearing of Microsoft Band 2 and Fitbit Charge HR is not particularly good, especially to wear them to sleep, Xiao Bian feels not particularly comfortable.

3. SleepBot data accuracy needs to be improved: From the measurement results of several devices, SleepBot is absolutely the largest in estimating data. On Tuesday night, SleepBot measured a sleep time of 7 hours and 42 minutes, and gave the small 5 star sleep gods the title, but in fact the actual sleep time measured by other devices is about 6 hours and 40 minutes. It can be seen that the data of the SleepBot is too high. In fact, that night, Xiaobian was lying on the bed and reading the book. I thought that SleepBot might have been lying there and thinking that I was sleeping.

4. It is not easy to track sleep: Fitbit Charge HR can automatically track user sleep mode. Band 2 and Up2 also have this function; however, the latter two can also manually select the sleep mode. Both SleepBot and Beddit Classic require the user to activate the app before using it, and then the device can begin user sleep tracking. If you forget to open the app before going to sleep this evening, the sleep data for this night will not be detected.

5. The battery is very important: Beddit needs to be directly connected to the power outlet when it is used, so there is no concern about the shortage of power. Both Fitbit Charge HR and Jawbone have strong battery life. However, Microsoft Band 2 needs to be recharged every two days. This charging requirement is not enough for a wearable device that needs to be worn overnight. If it is a smart watch, users can use the sleeping time at night to charge the device. But Band 2 needs to be worn at night to track sleep patterns, so its short battery life limits its use. SleepBot is an app on a mobile phone. It runs a bit late in the night, which makes the phone's heating phenomenon appear a bit serious. This phenomenon also exists in several other devices, because they also synchronize and exchange data with the mobile phone via Bluetooth, so more or more Or less have an impact on the phone.

6. Big data is actually very complicated: some of the data detected by these devices are very intuitive and useful, while others make some non-professional players like Xiaobian puzzled. For example, heart rate during sleep is an important indicator of sleep quality; in addition, through the actual sleep time every night, Xiaobian can know the quality of their sleep; however, some data, such as the time of no sleep every night, Xiaobian I really don't know what the data is for. Beddit is able to give a user a "sleep score" based on the measured data. The final analysis results of Fitbit and Jawbone can give the percentage of sleep goals achieved by the user's sleep. Beddit scores the user according to the situation, and SleepBot scores the user according to the rating of 1 star to 5 stars.

to sum up

Xiaobian is amazed at the accuracy of the results of these devices, of course, in addition to SleepBot. The remaining 4 devices in the measurement of sleep time, the results of the error range can be reduced to within 10-15 minutes, this result is quite satisfactory.

In this test, an episode occurred. One night, Xiaobian woke up in the middle of the night to find that the comet of his family had squeezed into the bed, pushed Xiaobian to the middle of the bed, and left the detection range of Beddit. So the test result given by Beddit this evening was Xiaobian "not in bed." Because Beddit can only record the limitations of single-bed data, and its lack of automatic recording, Xiaobian has a slight discount on it.

In general, Xiao Bian believes that a tracker that gives a percentage score according to the sleep goal is more intuitive in its performance than a tracker that scores for sleep. The percentage expression is more able to make the user understand the gap between himself and the target, and a score that can be explained without a lot of reference is not so intuitive.

In terms of cost performance, Microsoft Band 2 has high accuracy and easy to understand analysis results, which is worth recommending, but its size and short battery life are the biggest failures.

Xiaobian personally likes the automatic sleep tracking function of Fitbit Charge HR. However, like Band 2, one of the failures of Charge HR is its huge size, which makes it difficult to wear. In addition, the visual heart rate detection function of Charge HR is When executed, the green LED light emitted is very conspicuous in the dark, and sometimes it makes people feel glaring.

In summary, the last thing left is Jawbone Up2. In terms of volume, it is really small enough and very accurate. It also enables automatic tracking of user sleep, even if it is not turned on in the app. Another highlight of Up2 is its up to 10 days of battery life. Because there is no power-hungry electronic display, battery life is more secure. The price of the Up2 is currently $100, which is about 149 Australian dollars and 90 pounds. From the price point of view, in addition to the money-free mobile app - SleepBot, Jawbone Up2 is the lowest price of these devices.

Source: Amber

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