Data Mining Practical Machine Learning Tools and Techniques

IEEE Transactions on Pattern Analysis and Machine Intelligence

Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

This paper presents WiSee, a novel gesture recognition system that leverages wireless signals (e.g., Wi-Fi) to enable whole-home sensing and recognition of human gestures. Since wireless signals do not require line-of-sight and can traverse through walls, WiSee can enable whole-home gesture recognition using few wireless sources. Further, it achieves this goal without requiring instrumentation of the human body with sensing devices. We implement a proof-of-concept prototype of WiSee using USRP-N210s and evaluate it in both an office environment and a two- bedroom apartment. Our results show that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%.

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Whole-home gesture recognition using wireless signals

Thin-film electronics in its myriad forms has underpinned much of the technological innovation in the fields of displays, sensors, and energy conversion over the past four decades. This technology also forms the basis of flexible electronics. Here we review the current status of flexible electronics and attempt to predict the future promise of these pervading technologies in healthcare, environmental monitoring, displays and human-machine interactivity, energy conversion, management and storage, and communication and wireless networks.

Flexible Electronics: The Next Ubiquitous Platform

The present invention includes provides secure, instant, and anonymous connections between two devices The invention pairs a "cap" device with a capacitive touchscreen to a "cam" device with a camera sensor For example, typical smartphones and tablets can be paired with each other, and these devices can be paired to even larger touchscreens, such as smart whiteboards and touchscreen monitors The invention uses the cap device's touchscreen to detect and track the cam device, and displays color-modulated pairing data directly underneath the camera once the camera is touching the screen The pairing data is used as configuration data for a bidirectional link, such as an ad-hoc WiFi or Bluetooth link These links are established without requiring user configuration As such, the present invention provides a unidirectional communication mechanism from the touchscreen to the camera, which is used to bootstrap a full bidirectional, high-speed link

System and process for enabling secure, instant, and anonymous communication between physically touching devices

Autism often remains undiagnosed in adolescents and adults. Prior research has indicated that an autistic individual often shows atypical fixation and gaze patterns. In this short paper, we demonstrate that by monitoring a user's gaze as they watch commonplace (i.e., not specialized, structured or coded) video, we can identify individuals with autism spectrum disorder. We recruited 35 autistic and 25 non-autistic individuals, and captured their gaze using an off-the-shelf eye tracker connected to a laptop. Within 15 seconds, our approach was 92.5% accurate at identifying individuals with an autism diagnosis. We envision such automatic detection being applied during e.g., the consumption of web media, which could allow for passive screening and adaptation of user interfaces.

Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos.

Methods and apparatus of embodiments of the present invention include a classification system configured to treat edge contact of a touch screen as a separate class of touch events such that any touches occurring near the edge of the touch screen are to be processed by a classifier that is configured to process edge contacts as compared to a classifier that is configured to process other contacts that may occur in the approximate middle of the touch screen which may be wholly digitized. An apparatus may employ two separate and distinct classifiers, including a full touch classifier and an edge touch classifier. The touch screen may be configured to have two different sensing regions to determine which of the two classifiers is appropriate for a touch event.

Method and apparatus for improving accuracy using edge classification

A system for classifying touch events of different interaction layers includes a touch screen configured to display an interactive element, one or more vibro-acoustic sensors coupled to the touch screen, a touch event detector configured to monitor the one or more vibro-acoustic sensors and to save vibro-acoustic signals sensed by the one or more vibro acoustic sensors, wherein the touch event detector is further configured to detect touch events in which the interactive element is touched by a first or a second finger part of a user, and wherein the touch events result in generating the vibro-acoustic signals, and a vibro-acoustic classifier is configured to classify the vibro-acoustic signals and activate corresponding functions in the different layers dependent upon which finger part is used.

Chris Harrison

Papers

System and process for enabling secure, instant, and anonymous communication between physically touching devices

Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos.

Method and apparatus for improving accuracy using edge classification

Method and apparatus for classifying a touch event on a touchscreen as related to one of multiple function generating interaction layers

Messung von mechanischer energie zur anpassung des körpers für dateneingabe