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This commmunication describes some current applications of adaptive filtering to the processing of microwave Doppler signals for heart rate monitoring. The problem has been approached in the past using signal processing techniques such as peak detection or autocorrelation. These methods either require large amounts of data or tend to be unreliable. This(More)
– A low-cost " artificial nose " is required to monitor incontinence of elderly patients in nursing homes. With the aim of identifying a small array of inexpensive sensors whose response vector could provide an unambiguous signature at a useful sensitivity level, we characterized the sensitivity of seven easily available solid-state sensors to fecal(More)
The concept and instantiation of real-time tomographic holography (RTTH) for augmented reality is presented. RTTH enables natural hand-eye coordination to guide invasive medical procedures without requiring tracking or a head-mounted device. It places a real-time virtual image of an object's cross section into its actual location, without noticeable(More)
—The sound of a working vehicle provides an important clue to the vehicle type. In this paper, we introduce the " eigenfaces method, " originally used in human face recognition, to model the sound frequency distribution features. We show that it can be a simple and reliable acoustic identification method if the training samples can be properly chosen and(More)
We present a novel and relatively simple method for magnifying forces perceived by an operator using a tool. A sensor measures the force between the tip of a tool and its handle held by the operator's fingers. These measurements are used to create a proportionally greater force between the handle and a brace attached to the operator's hand, providing an(More)
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a(More)
Context sensing for context-aware HCI challenges traditional sensor fusion methods with its requirements for (1) adaptability to a constantly changing sensor suite and (2) sensing quality commensurate with human perception. We build this paper on two IMTC2002 papers, where the Dempster-Shafer " theory of evidence " was shown to be a practical approach to(More)