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An increasingly common requirement of computer systems is to extract information regarding the people present in an environment. In this article, we provide a comprehensive, multidisciplinary survey of the existing literature, focusing mainly on the extraction of five commonly needed spatio-temporal properties: namely presence, count, location, track and(More)
We present an activity-recognition system for assisted living applications and smart homes. While existing systems tend to rely on expensive computation of comparatively largedimension data sets, ours leverages information from a small number of fundamentally different sensor measurements that provide context information pertaining the person's location,(More)
The ability to localize and identify multiple people is paramount to the inference of high-level activities for informed decision-making. In this paper, we describe the PEM-ID system, which uniquely identifies people tagged with accelerometer nodes in the video output of preinstalled infrastructure cameras. For this, we introduce a new distance measure(More)
— We present DoppelLab, an immersive sensor data browser built on a 3-d game engine. DoppelLab unifies independent sensor networks and data sources within the spatial framework of a building. Animated visualizations and sonifications serve as representations of real-time data within the virtual space.
In this paper, we present ListenTree, an audio-haptic display embedded in the natural environment. A visitor to our installation notices a faint sound appearing to emerge from a tree, and might feel a slight vibration under their feet as they approach. By resting their head against the tree, they are able to hear sound through bone conduction. To create(More)
We propose a system to identify people in a sensor network. The system fuses motion information measured from wearable accelerometer nodes with motion traces of each person detected by a camera node. This allows people to be uniquely identified with the IDs the accelerometer-node that they wear, while their positions are measured using the cameras. The(More)
In this paper we present a vision for scalable indoor and outdoor auditory augmented reality (AAR), as well as HearThere, a wearable device and infrastructure demonstrating the feasibility of that vision. HearThere preserves the spatial alignment between virtual audio sources and the user's environment, using head tracking and bone conduction headphones to(More)
Despite the rapid expansion of computers beyond desktop systems into devices and systems in the environment around us, the control interfaces to these systems are often basic and inadequate, particularly for infrastructure systems. WristQue is a wearable interface for interacting with computerized systems in the environment, providing both explicit remote(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract— We present TRUSS, or Tracking Risk with Ubiquitous Smart Sensing, a novel system that infers and renders safety context on construction sites by fusing data from wearable devices, distributed sensing infrastructure, and video.(More)
We present Patchwerk, a networked synthesizer module with tightly coupled web browser and tangible interfaces. Patch-werk connects to a pre-existing modular synthesizer using the emerging cross-platform HTML5 WebSocket standard to enable low-latency, high-bandwidth, concurrent control of analog signals by multiple users. Online users control physical(More)