The latest report from market research firm IHS pointed out that if we use Google Trends to understand the market's attention to "gesture sensing", we can find that the technical term has a fairly obvious search between 2013 and 2015. heat. In fact, some large companies with platform development capabilities have been planning gesture sensing technology since about 2009; after several years of improvement and timing waiting, between 2013 and 2015, some related results It has emerged one after another, so the media, industry, and supply chain naturally expressed their interest during this time.
"Gesture manipulation" is basically a medium for gestures as a human-machine interface. Like voice and touch, it can be regarded as a kind of natural user interface. When the use of the touch screen impacts the existing keyboard and mouse, gestures and voice become the next human-machine interface to be concerned. The ultimate human-machine interface may be based on a machine with artificial intelligence, allowing users to talk in a natural language. The user does not need to do any learning at all, relying on the artificial intelligence behind the machine to understand the user.
However, artificial intelligence will not mature in the next few years to the extent that it can be applied to everyday electronic products; even if there is an opportunity, relevant legal constraints and ethical issues will inevitably lead to intense discussion and even opposition in society. Compared with the current situation, after the touch screen becomes a new generation of human-machine interface, our electronic products, Internet of Things, machines and other devices are constantly installing sensors. These sensors become people. The interface of the machine or the basis of huge amounts of data (big data); the back-end algorithms, and even the artificial intelligence developed in the future, will be the key to the true "wisdom" of these devices.
IHS said that the manipulation of gestures by the average user can be counted from the Nintendo console Wii that was introduced in 2006; by the time Microsoft was born in 2010, the technology reached a new milestone because This is the first time a user can interact with the device in a way that is free of charge and does not rely on any controller. Since the fourth quarter of 2013, mainstream home consoles, including the Microsoft Xbox and Sony PlayStaTIon, can support hands-free gesture control; at the time, the Nintendo Wii U's human-machine interface was too traditional.
After two years of demonstration at CES, Intel RealSense was officially installed in notebooks and other devices in 2015. However, judging from the maturity of the current gesture control itself, the man-machine interface of gesture control has not yet reached the point where the projected capacitor was amazing at the beginning of 2007 in terms of performance and application. Even if it can be achieved, the change in user behavior still takes time, not to mention that on some devices, gesture manipulation may be an auxiliary human interface rather than the main interface.
IHS pointed out that there is no substitute relationship between gesture control and touch screen. These two natural human-machine interfaces have their own suitable use scenarios. The touch screen is quite suitable for mobile phones and tablets, and it is also the main and intuitive user interface. However, since the user can already touch the screen, the gesture control is redundant or only auxiliary. For some devices that users can't access the screen, gesture control is a very suitable human interface.
For example, smart TV can be achieved through a screen device or a set-top box, but in the context of the use of the two, the user needs to maintain a certain distance from the screen, so the touch screen is not suitable. . Relatively speaking, unless you still insist on the most man-machine interface in the way of remote control, the gesture control of the hand is quite suitable.
Gesture manipulation is a suitable human interface for smart TV
Some emerging immersive applications, such as augmented reality, virtual reality, etc., the device itself does not have a large enough screen for easy operation, so in terms of its use context, gesture manipulation It will be a fairly suitable human-machine interface.
Smart watches actually have similar problems. Wearable devices are more comfortable to wear than mobile devices. Even if you can use curved screens, the operating situation is quite inconvenient compared to mobile phones. At this time, gestures are controlled with touch screens. They can be matched and become complementary roles. Google launched Wrist Gestures for Android Wear in 2015, using the built-in inertial MEMS sensor to allow users to turn their wrists in a simple way to operate smart watches.
In addition, many IoT-based home appliances in the future may not have a screen at all, or there is only one small screen that mainly displays functional messages, except for centralized mobile phones and set-top boxes. In addition to voice operations, gesture control is also a suitable human interface.
For example, Apple's current HomeKit platform and iPhone have gradually made the IoT smart home ecosystem more clear, and Apple acquired PrimeSense and achieved gesture control technology as early as November 2013. The patents continued to be consolidated during the year. Google's Project Soli, released in May 2015, is more creative; with the principle of radar reflection, the entire gesture control function is reduced to a single chip with a length and width of less than 1 cm.
The technique of gesture manipulation can have different functional categories, thus affecting the design of the sensor. Many mobile phones have built-in inertial MEMS sensors, so they can be used to do some simple gesture control applications, such as: shaking the phone to select the previous or next music, shaking the phone to play the dice game, flipping the phone To refuse to answer and so on. Similarly, a proximity sensor can also be used for gesture manipulation. However, these are not the real potential of gesture-sensing sensors, but because the sensors are built-in and add to the creativity of the application software.
Gesture-sensing sensors with 3D depth map capabilities will have the opportunity to shine in the future. When the sensor can construct the depth map, in addition to the gesture control capability, it can also bring "visual" to the device. For example, Intel's RealSense, the first generation of Microsoft Kinect, and the current Project Tango all use similar structured light, but extension enhancements and adjustments can be extended to different applications.
RealSense emphasizes gesture manipulation, machine vision, and even iris recognition. Project Tango uses a special computer vision chip for environmental space recognition, while Kinect enhances the algorithm of the whole body bone node, allowing the action to be extended from gestures to the whole body.
After several years of development, gesture control as a human-machine interface has gradually penetrated from the development and special application stages to devices that can be seen by ordinary users. Gesture control is not to replace the touch screen, but based on the relevant sensors, so that gestures can be like a touch screen, become another mature natural human interface.
After the introduction of a sensor with "visual" capabilities, in addition to giving the device the ability to judge the user's gestures, it will also make the device smarter. IHS said that we are indeed creating a human-machine interface for smart devices, but on the other hand, we are also giving "sensory perception" to these devices, which is also the key to its intelligence.
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