For smart phones and tablets, Qualcomm's newest Snapdragon mobile device chip includes gesture recognition abilities, via its camera, but few mobile devices make use of gesture control.
The second one is that for some biometric modalities, the capture device is already included within the mobile device (e.g., camera for face recognition, touch screen for handwritten signature recognition, microphone for speaker recognition, or the inclusion of some swipe sensors for fingerprint verification).
This paper presents the design and outcomes of the CHiME-3 challenge, the first open speech recognition evaluation designed to target the increasingly relevant multichannel, mobile-device speech recognition scenario.
From mobile devices with facial recognition to self-driving cars, we are still experiencing waves of innovative technology that can be traced back to major breakthroughs in our understanding of intelligence, like machine learning.
As one of the most compelling applications for mobile devices, automatic speech recognition (ASR) requires new methods to allow it to use fewer computational and memory resources while still achieving a high level of accuracy.
Vazquez-Fernandez & Gonzalez-Jimenez (2016) discussed autonomous biometric data processing within mobile devices for face recognition systems.
In fact, touch computing has eliminated the mouse on mobile devices and speech recognition like Siri and Evi could eliminate the need for a keyboard.
If you don't have to worry about others listening in, many mobile devices have voice recognition software, so you could just speak your term paper.
In this research, we present a preliminary design and experimental results of object recognition from a mobile device that utilizes the texture and the color features by image pre-processing with a simple vector distance matching classifier to train and extract the characteristics.
When using a mobile device, other security features like face recognition and fingerprint input can also make it more difficult for hackers to access your account.
Once synchronized, the mobile device can utilize the pre-trained facial recognition data to recognize faces within newly taken pictures.
