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Giuseppe Raffa

Researcher at Intel

Publications -  118
Citations -  1693

Giuseppe Raffa is an academic researcher from Intel. The author has contributed to research in topics: Wearable computer & Context (language use). The author has an hindex of 21, co-authored 112 publications receiving 1677 citations. Previous affiliations of Giuseppe Raffa include University of Bologna & Durham University.

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Patent

Audible list traversal

TL;DR: In this paper, a user interface for traversal of long sorted lists, via audible mapping of the lists, using sensor based gesture recognition, audio and tactile feedback and button selection while on the go, is presented.
Patent

Adjustment of temporal acoustical characteristics

TL;DR: In this paper, a text-to-speech generator is used to generate audible items based upon the abbreviations to render to a user while traversing the item structure. But this generator is limited to text lists and tables.
Patent

Efficient gesture processing

TL;DR: In this paper, the authors describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context-based optimized recognition, and context based optimized training and continuous learning, and further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation.
Patent

Apparatus, method and techniques for wearable navigation device

TL;DR: In this paper, a wristband consisting of a plurality of haptic feedback devices arranged around a circumference of the wristband and logic to wirelessly receive navigation information from a computing device and to output the navigation information using one or more of the plurality of feedback devices, the output comprising a mechanical representation of the information.
Patent

Mechanism for outsourcing context-aware application-related functionalities to a sensor hub

TL;DR: In this paper, a mechanism for outsourcing context-aware application related activities to a sensor hub is described, which includes outsourcing a plurality of functionalities from an application processor to the sensor hub processor.