We are looking for participants to engage in a personalised online shopping experience. You will receive a £40 shopping voucher for your participation and get the opportunity to purchase a book at 90% discount. The experiment involves a session of online shopping during which we will measure your eye movements and bodily responses. The shopping session is followed by an interview and we will ask you to fill out a final questionnaire to give us feedback on the study.
We present a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regression forests to learn how to map from near infrared intensity images to absolute, metric depth in real-time. We demonstrate a variety of human computer interaction scenarios.
Climatology gives you climate information for anywhere on Earth: temperature, rain and sunniness. Whether finding where are the warm, dry places to go on holiday in December, or avoiding rain for your wedding, to finding out what the climate is like in Kazakhstan in April, Climatology allows you to discover the information you want.
Microsoft Research is looking for 20 high school students to participate in a study exploring existing and potentially new uses of social media and communication technologies to stay connected with friends and share experiences.
Embedding professional services in productivity tools
An app that lets people check-in to the commuting trips that they take, and communicate with their fellow travelers. The app for the locations we pass through on the way to where we're going.
This paper presents a method for acquiring dense nonrigid shape and deformation from a single monocular depth sensor. We focus on modeling the human hand, and assume that a single rough template model is available. We combine and extend existing work on model-based tracking, subdivision surface fitting, and mesh deformation to acquire detailed hand models from as few as 15 frames of depth data.
Online 3D reconstruction is gaining newfound interest due to the availability of real-time consumer depth cameras. The basic problem takes live overlapping depth maps as input and incrementally fuses these into a single 3D model. This is challenging particularly when real-time performance is desired without trading quality or scale. We contribute an online system for large and fine scale volumetric reconstruction based on a memory and speed efficient data structure.
We present Kinectrack, a new six degree-of-freedom (6-DoF) tracker which allows real-time and low-cost pose estimation using only commodity hardware.
We contribute a thin, transparent, and low-cost design for electric field sensing, allowing for 3D finger and hand tracking, as well as in-air gestures on mobile devices.
We present a new type of augmented mechanical keyboard, sensing rich and expressive motion gestures performed both on and directly above the device.
We present RetroDepth, a new vision-based system for accurately sensing the 3D silhouettes of hands, styluses, and other objects, as they interact on and above physical surfaces.
Computer Aided Language Learning (CALL)
NewsPad is a collaborative news editor designed to empower small communities to write articles collaboratively through: community sourcing, structured stories, and the ability to embed the story anywhere.
Site under construction
We develop novel eye-gaze tracking technologies in order to make eye-gaze tracking technology ubiquitously available for improved natural user interaction (NUI).
ViiBoard uses vision techniques to significantly enhance the user experience on large touch displays (e.g. Microsoft Perceptive Pixels) in two directions: human computer interaction and immersive remote collaboration. the first
Eventful is a system that helps produce news reports by recruiting and guiding remote and locative crowd workers who attend events in person to perform information collection missions. Eventful explores and hopes to problematize the concept of journalism as a service. For initial details please read the short paper below. Full paper coming soon.
We built the Sketch2Cartoon system, which is an automatic cartoon making system. It enables users to sketch major curves of characters and props in their mind, and real-time search results from millions of clipart images could be selected to compose the cartoon images. The selected com- ponents are vectorized and thus could be further edited. By enabling sketch-based input, even a child who is too young to read or write can draw whatever he/she imagines and get interesting cartoon images.
We built the Sketch2Tag system for hand-drawn sketch recognition. Due to large variations presented in hand-drawn sketches, most of existing work was limited to a particular domain or limited pre-defined classes. Different from existing work, Sketch2Tag is a general sketch recognition system, towards recognizing any semantically meaningful object that a child can recognize. This system enables a user to draw a sketch on the query panel, and then provides real-time recognition results.
Conversational systems interact with people through language to assist, enable, or entertain. Research at Microsoft spans dialogs that use language exclusively, or in conjunctions with additional modalities like gesture; where language is spoken or in text; and in a variety of settings, such as conversational systems in apps or devices, and situated interactions in the real world.
Crowd-sourcing is increasingly being used for providing answers to online polls and surveys. However, existing systems, while taking care of the mechanics of attracting crowd workers, poll building, and payment, provide little that would help the survey-maker or pollster to obtain statistically significant results devoid of even the obvious selection biases. InterPoll: a platform for programming of crowd-sourced polls. Polls are expressed as embedded LINQ queries, whose results are provided to t
Stroke Recovery with Kinect is an interactive rehabilitation system that helps stroke patients improve their upper-limb motor functioning in the comfort of their own home. By using the Microsoft Kinect sensor’s gesture recognition technology, the system recognizes and interprets the user’s movements, assesses their rehabilitation progress, and adjusts the level of difficulty for subsequent therapy sessions.
MSRA Mood Board
Ethnographic project to better understand the crowd work ecosystem.