Smartphone Future: Context Awareness and Biometrics

The hardware specifications of smartphones have slowed down, and mobile phone manufacturers have begun to shift their focus to more intelligent functions and enhanced user experience. The mobile phone industry generally believes that situational awareness and biometrics will be the next major development trend, and future mobile phones will also Will have a more complete machine learning function, according to the consumer's use of the situation to adapt.

In the past, smartphone manufacturers are accustomed to introducing the latest processors, panels, cameras and other technologies in the flagship models. The differences in products are limited. However, in the past two years, some mobile phone brands are no longer pursuing top hardware specifications, but instead focus on Enhance the user experience, trying to attract consumers with humanized software features, but the results are different.

From the development trend of this year's Global Mobile Communications Conference (MWC 2015), the next main battlefield of smartphones will be context-aware computing combining various sensors, as well as more advanced biometric functions such as fingerprint recognition and face recognition. .

According to TIm McDonough, vice president of marketing at Qualcomm, many people often feel that the new smartphone is not much different from the previous one. It may be faster, such as faster LTE and faster Wi-Fi. A more optimized central processing unit (CPU) and image processing unit (GPU), but its industry should provide consumers with higher expectations. The next generation of smart phones can be more interesting and bring new and different users. Experience.

If the processor of the intelligent machine has the machine learning function, it can recognize objects, people or corresponding scenes, and combine the built-in sensors of the smartphone, such as touch, angle, height, temperature, optics, etc. The data collected by the sensor is analyzed and learned, and then the corresponding judgment is made, so that the user can obtain more intimate use experience.

For example, he said that if the mobile phone has advanced image recognition capabilities, it can determine the type of scene and the whole environment through the camera, whether it is indoor or outdoor, sunrise or sunset, and can classify the photos, such as buildings, people, Beaches, children, trees, watches, etc., to provide better photo effects and even other intelligent features for different themes or objects.

In addition, the mobile phone can also recognize handwritten notes and automatically convert them into text, and has intelligent learning functions. For example, through a continuous running platform, voice and audio can be recognized, and the user's instructions can be waited at any time to identify the surrounding. Background sound, or automatically recognize music songs, no need to unlock, open recognition software and other programs.

In fact, Qualcomm has planned to integrate the Zeroth cognitive computing platform for the first time in the new generation of Snapdragon 820 processors, so that mobile phones can sense the surrounding things, and it has a variety of mobile experience and cognitive computing capabilities, including computer vision, machines. The visual perception of a smart lens that learns, recognizes situations, and reads text and writing.

Combine the sensing engine, sensing fusion, machine learning, resolution algorithm, and the full-time environment sensing capability that can sense the environmental changes and predict the user's needs at any time. The radio signal, sound source localization, sound discrimination, natural Language processing, which recognizes the speech recognition ability of environmental audio, music or vocals, and recognizes the natural device interaction ability of gestures, expressions and faces.

CrisTIano Amon, executive vice president and QCT co-president of Qualcomm Technology, said that mobile devices have increasingly sophisticated computing, multimedia and networking capabilities, and will surpass traditional functions in the future, becoming a tool for learning and responding to user needs. It will be extended to a series of products such as smartphones, automobiles, and wearable devices, so that different terminal devices can have such intelligent and personalized functions.

McDonough stressed that I don't want the smartphone industry to be like the PC industry. Because the PC change cycle is very long, almost all of them can't be used until the PC can be used. I hope that the smart phone industry will show a passionate development trend. Mobile phone manufacturers and software developers can create more innovative value and growth momentum on the basis of it.

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