RESOLVING SIZING ISSUES IN EXPORTING LARGE OBJECTS

A computing device (e.g., a smartphone, a smartwatch, smartglasses, smart headphones (including earbuds), a laptop computer, a tablet computer, a vehicle head unit, etc.) may execute an application programming interface (API) that outputs pairing information per a universal or general standard. For example, the API may process communication parameters uniquely specified by an original equipment manufacturer (OEM) to identify key attributes and features. The API may insert the identified key attributes and features into a custom specification having a common format. In this way, the API may generalize, abstract, or otherwise standardize communication parameters specifications that were originally uniquely defined. The custom specification may be compatible with various types of exporting, such as incremental exporting, block exporting, etc. These various types of exporting may reduce or eliminate sizing issues encountered when a computing device exports large amounts of data (e.g., objects)

Simultaneously Learning Speaker's Direction and Head Orientation from Binaural Recordings

Estimation of a speaker's direction and head orientation with binaural recordings can be a critical piece of information in many real-world applications with emerging `earable' devices, including smart headphones and AR/VR headsets. However, it requires predicting the mutual head orientations of both the speaker and the listener, which is challenging in practice. This paper presents a system for jointly predicting speaker-listener head orientations by leveraging inherent human voice directivity and listener's head-related transfer function (HRTF) as perceived by the ear-mounted microphones on the listener. We propose a convolution neural network model that, given binaural speech recording, can predict the orientation of both speaker and listener with respect to the line joining the two. The system builds on the core observation that the recordings from the left and right ears are differentially affected by the voice directivity as well as the HRTF. We also incorporate the fact that voice is more directional at higher frequencies compared to lower frequencies

Low Latency and Energy-efficient Hotword Detection Based on Mouth Movement

Devices that provide virtual assistants that respond to spoken queries monitor the user’s speech to detect a hotword to trigger the virtual assistant application. However, hotword detection requires some components of the device to be always on which make such devices power hungry. Always-on microphones are a problem especially for small devices such as hearables that have a small battery. This disclosure describes techniques that gate hotword detection with a lightweight neural network that estimates mouth motion signatures using signals from a low-power, always-on inertial measurement unit (IMU). Because the IMU has lower bandwidth than microphones, signals generated by the IMU can be processed by a neural network that is small enough to reside on the front-end processor of a low-powered device such as a hearable. Hotword gating can be done without waking up power hungry processors of the device. IMU-based gating can allow high-precision hotword detection to be achieved at very low power consumption

London Creative and Digital Fusion

date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000The London Creative and Digital Fusion programme of interactive, tailored and in-depth support was designed to support the UK capital’s creative and digital companies to collaborate, innovate and grow. London is a globally recognised hub for technology, design and creative genius. While many cities around the world can claim to be hubs for technology entrepreneurship, London’s distinctive potential lies in the successful fusion of world-leading technology with world-leading design and creativity. As innovation thrives at the edge, where better to innovate than across the boundaries of these two clusters and cultures? This booklet tells the story of Fusion’s innovation journey, its partners and its unique business support. Most importantly of all it tells stories of companies that, having worked with London Fusion, have innovated and grown. We hope that it will inspire others to follow and build on our beginnings.European Regional Development Fund 2007-13

SMART DISPLAY COLOR INVERSION

A color inversion module is described that enables a computing device (e.g., a personal computer, a mobile device, a tablet, etc.) to selectively invert colors of content (e.g., a desktop background, text, an image, a graphic, an animation, a video, etc.) to be displayed, and thereby potentially reduce an amount of light output by a display of the computing device. Reducing the amount of light emitted by the display may improve display clarity and reduce eye strain when using the computing device, particularly when using the computing device in low light conditions (e.g., at night in a dark or low ambient light condition)

Wearable Technology and Extended Applications

We are living in the turbulent flow of technology, which increases exponentially with every second we live. Technology has made our life ease, effective and enables us to do something we always dreamed of. Wearable Technology is the next step that is taken towards the next generation interaction with new modules and future designed gadgets that works with much efficiency, flexibility, accuracy and can perform various complex operation with ease. Wearable technologies are adding more layers to our life by increasing the ways we communicate and share information with each other. The continuity of these devices creates a continuous link between people that they can relate to each other. Wearable Technology is aimed to provide the real time interaction with new evolving mobile widgets and gadgets. We would see how this technology will overcome the limitations of the existing mobile gadgets and bring it to the new extended level in compare to current scenario. Wearable Technology is new technological revolution that would create a world faster reliable and secure data transmission network. We would analysis the capability, expandability and limitations of it

WEARABLE TILT-TO-ACTION IMPROVEMENT USING CAMERA

Computing devices (e.g., a smartphone, a smart watch, smartglasses, smart headphones, a laptop computer, a tablet computer, a vehicle head unit, etc.) may use a specific movement, such as a tilting of the computing device to trigger an action. For example, tilting a wearable device (e.g., a smart watch) may trigger a display of the wearable device to turn on (tilt-to-wake), brighten (tilt-to-bright), or perform a particular action (tilt-to-act). For example, the computing device may use one or more sensors (e.g., accelerometers, gyroscopes, barometers, or other motion or non-motion sensors) to determine whether a user of the computing device has performed a gesture while wearing or holding the computing device. The computing device may incorporate a camera, or any other sensor with the capability of identifying whether a user is present to detect false positives and prevent the computing device from unnecessarily performing an associated action when a user of the computing device is not present. A computing device may initially determine one or more gestures or events of a user wearing or holding the computing device, such as a user lifting and rotating a wrist with a smart watch or other wearable computing device. In response to the computing device determining that a gesture or event has occurred, the computing device may capture an image using a camera of the computing device and determine whether the image includes a face (e.g., of the user) and, if the image includes a face, the computing device may perform the action