Photo Source @ Visual China
Text | Intelligent Theory of Relativity, Source | Wei Qiyang
At 3:23 in the morning, Ms. Xiao, the second-born mother, was awakened because she turned over her body. At this time, the window was silent, and Ms. Xiao’s head was sober.
After more than 40 minutes in bed, Ms. Shaw turned on her phone and started to play, giving up her intention to go back to sleep.
At 6:20 in the morning, with the cry of Xiaobao, Ms. Xiao put down her mobile phone and cheered up her spirits, ready for a new day. Ms. Xiao, who had been insomnia for one night, was swelled at the moment and her heart was anxious.
This is a true portrayal of a normal night's sleep disorder caused by insomnia. I believe that most people have experienced insomnia. If you are concerned about using sleeping pills to solve your sleep problems, can you safely give your sleep to the sleep monitoring management platform with smart tags?
Business born from insomnia
Those who fall asleep never know the pain of insomnia, and never know how many people are suffering from insomnia.
According to the World Health Organization, the global rate of sleep disorders is 27%. According to the sleep survey released by the China Sleep Research Association in 2016, the incidence of insomnia in Chinese adults is as high as 38.2%, and more than 300 million Chinese have sleep disorders, and this data is still rising year by year. Just like verifying this statement, a study conducted by the China Sleep Research Association in 2017 showed that the prevalence of insomnia among adults in China is as high as 57%, and 65% of the working population have sleep disorders.
Every pain point means a business opportunity, how many people have insomnia, and how much business is behind sleep-related business. According to statistics, in 2015, China's market segment for improving sleep products was 211.4 billion. It is estimated that by 2020, the industry scale of the overall sleep market will reach more than 400 billion yuan. In this huge market, AI can not be absent. Compared with bedding, medical and health products, food, books and audio-visual products, the technology circle is more concerned about AI+ sleep monitoring. Thus, sleep monitoring products such as bracelets, mobile APPs, passive sensor monitors or sleep monitoring platforms were born on this track.
Is AI monitoring sleep fooling or science?
“Sleep can also be monitored? Especially with mobile APP, it can be monitored. Is it not a lie?” Many insomniacs have doubts when they first come into contact with intelligent monitoring of sleep products. So what are the ways to monitor sleep with intelligent monitoring of sleep products equipped with deep technology, big data analysis and other black technologies? Where are their scientific evidences?
According to Wei Qiyang, the monitoring mode of sleep monitoring platform can be divided into three types: wearable device monitoring represented by smart bracelets, non-wearable device monitoring represented by mattresses and pillows equipped with monitoring sensors, and so on. And the mobile phone APP monitoring that fills the smartphone. The working principles of these three types of monitoring modes have their own characteristics.
Wearable device monitoring
Wearable sleep monitors usually use motion recorders to record movements and take physical activity and sensory sensitivity as indicators. The posture data of the user during sleep were recorded by the motion recorder, and the sleep status was judged by AI calculation. During deep sleep, people's muscles relax, limbs do not produce large movements, and light sleep, the human body will produce a certain amount of slight movement.
The current body motion recorder basically has data recorded from three directions. According to the recorded data, the analysis software can analyze the energy consumption and sleep related parameters, including the wake time, the number of wakes, and the sleep efficiency.
On behalf of the product: Xiaomi bracelet, Apple Watch watch.
Non-wearing device monitoring
Non-wearable sleep monitoring devices are generally "turned" for smart mattresses, smart pillows, smart bed belts, smart pillow buckle and so on. These devices have built-in sensitive sensors that record sleep quality, heart rate, breathing and snoring. Users can view AI-analyzed sleep reports via Bluetooth-connected phone APP,. At the same time, most of the non-wearable sleep monitoring smart devices also have the ability to play sleep help music, intelligent alarm clock and so on, so that users can wake up less painfully in light sleep.
Representative products: Beddit, Earlysense, Withings, Sleepace, etc.
Mobile APP monitoring
According to the study of human sleep, when the person is in deep sleep, the weight of the body is relatively heavy, so the sensor value calculated by the mobile phone accelerator is relatively large. According to this principle, the mobile APP monitors sleep by using the internal acceleration sensor and gyroscope to monitor the user's activity during sleep, thereby using AI to calculate the depth of sleep state, analyzing sleep quality, and deep sleep time.
Representative products: snail sleep APP, firefly sleep APP, sleep master APP.
Intelligent sleep monitoring is still dormant
The above three sleep monitoring modes seem to have their own "single cheats", each with their own expertise and advantages, but in the sleep monitoring track, these three modes have no absolute power, on the contrary, they are all "fire" After a while, it gradually calmed down. Why does the intelligent sleep monitoring management platform “hibernate” before it solves the problem of human insomnia? There are four reasons for this.
First, the results of sleep monitoring are not accurate.
"It is clear that all night is dreaming, the brain is chaotic, but the sleep report given by the mobile phone APP still shows that the quality of sleep last night is good." Many insomniacs have such experience after using some products that intelligently monitor the sleep platform. . “Uncertainty” is a “common problem” of various sleep monitoring platforms, mainly because the diversity of sleep patterns (deep sleep, deep sleep, dreaming) and judgment methods and standards do not form a common AI algorithm.
According to Michael Larson, founder and president of Sleep Shepherd, the problem with artificial intelligence algorithms is that "the core of most artificial intelligence algorithms today is pattern matching. One problem in the field of sleep technology is that the pattern used in the algorithm is Defective, they do not describe sleep well.” When its algorithmic basis deviates from the motion sensor, AI has defects that may give inaccurate data.
Second, wearable devices themselves are not good for sleep.
For the mode of monitoring sleep with wearable devices, it is a paradox in itself.
It was intended to monitor sleep with these devices, but reality responded-no one would wear a watch or a bracelet to sleep. For people with nudity or obsessive-compulsive disorder, these wearable devices are likely to be the cause of insomnia.
In addition, wearing a wristband or watch to sleep at night, the wristband and watch will tighten the wrist, if the wrist artery is pressed for a long time, it will easily cause numbness of the arm, which will affect sleep. Due to the sleeping position, there is also a large error in the data collected by the wearable device. This model is destined to be used only by curious users and has never been the best solution in the sleep monitoring track.
Again, users worry about the effects of radiation on their health.
Does mobile phone radiation have any harm to human health? On this issue, many media have done many sciences from different angles and different aspects, but some people still doubt it. There is a survey on the understanding of mobile phone and mobile phone radiation on the questionnaire star. In this survey report, 79.41% of the respondents believe that the longer the use time, the greater the radiation of mobile phones; only 22.06% of the respondents In the evening, the phone will be charged on the pillow, 55.88% of the respondents said that they will put the phone in the bedroom but not at the bedside, and even 14.71 respondents will put the phone in the study at night. In Germany, where national education is high, a German media survey of “mobile phone radiation can cause harm to humans”, 55% of Germans believe that mobile phone radiation is at risk.
Many intelligent monitoring sleep devices use radar, radio frequency technology for data collection, how to eliminate the user's concern about radiation, intelligent monitoring sleep management platform to do, probably not only to educate the user, After all, persuading an old man to put his cell phone on his pillow and monitor his sleep is not easy for an old man who has to turn off his phone.
Finally, what does it take you to just monitor and not interfere?
"Is it good to sleep, isn't it in my heart?" The intelligent monitoring sleep management platform cuts in the user's sleep pain points, but fails to hit the pain point.
The sleep monitoring report received by insomniacs is just a report. Through the data analysis, the user's sleep quality is very poor, and the users themselves know that they often suffer from insomnia. Then there is no more then. The report is not helpful for users to improve and solve their sleep problems. After a few round trips, the sleep monitoring platform is gradually abandoned by users and slowly enters “hibernation”.
How does AI monitor sleep across?
Obviously, only sleep monitoring, limited ways of commercial realization, then what is the way AI monitors the sleep platform to achieve leap?
1, life monitoring is a priority, sleep monitoring is back
On the current development of intelligent sleep monitoring platform, pure sleep monitoring is painless, unable to fundamentally solve and interfere with the user's sleep problems, some chicken ribs feel.
Intelligent relativism believes that instead of improving the accuracy of data collection and the accuracy of monitoring reports, the sleep monitoring platform must first solve the problem of how to promptly wake up during sleep or vomit caused by drinking transition may cause suffocation, and solve obesity patients will not The problem of sudden death in sleep. The priority of the intelligent sleep monitoring management platform should be to protect life.
Only in the face of death, humans will be truly afraid, this is the most painful point of pain.
2, not only to monitor but also to intervene
Because simply taking sleep monitoring as a starting point cannot directly bring users a good sleep experience and solve sleep problems, if a closed loop of "sleep monitoring data analysis doctors interfere with doctor follow-up" can be formed, According to the specific conditions of insomnia patients to provide a precise and customized insomnia solution, which is the most urgent insomnia people want to appear intelligent monitoring sleep platform operation mode. Although similar products have appeared in the market, it is still far from forming the iconic business model.
Intelligent relativity believes that in improving sleep, in addition to artificial intervention outside the platform, it is also important to monitor the timely intervention of devices in the sleep of users. For example, ambient noise, indoor temperature will affect the user sleep, monitoring equipment to control windows, air conditioning, etc., to optimize sleep quality. If the imagination is a little richer, helping users drive out mosquitoes, adjusting the sleeping posture that could cause a bed crash at any time, are all things the intelligent sleep monitoring platform can do in the future.
3, the entrance to the nocturnal Internet of things
In fact, for the intelligent monitoring of the sleep platform, its more ambitious significance is how to open the entrance to the Internet of Things at night.
Analogous to smart speakers, the Internet giants see it as the entry point for smart homes and home artificial intelligence interactions. Today's competition is fierce. The thinking that brings to the intelligent monitoring sleep platform is – if the daytime scene is contracted by a smart speaker, who will take it that night? The sleep monitoring technology and the current explosive intelligent voice technology have great similarities: that is, the technology itself cannot directly bring value, but the application of the scene derived from the technology is infinite.
Finally, use Jobs's famous ad to give intelligent monitoring sleep platforms that are still in chaos: you can praise him, you can insult him, you say he can do anything, but one thing you can't do is you can't ignore him.
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