The feasibility of posture and movement detection by accelerometry

The discrimination of postures and movements using a minimal set of uniaxial accelerometers was investigated. Postures and movements were distinguished on the bitsis of the high-pm filtered, rectified and low pass filtered signal of one accelerometer. Postures were discriminated by combining the constant valued signals of the accelerometers, mounted on different segments of the body. One sensor mounted ndiully on the trunc and one mounted radially or tangentially on the upper leg appeared to be suficient to discriminate shnding, sitting and lying. Methods are proposed for the discrimination of different cyclical movements

On the surplus value of semantic video analysis beyond the key frame

Typical semantic video analysis methods aim for classification of camera shots based on extracted features from a single key frame only. In this paper, we sketch a video analysis scenario and evaluate the benefit of analysis beyond the key frame for semantic concept detection performance. We developed detectors for a lexicon of 26 concepts, and evaluated their performance on 120 hours of video data. Results show that, on average, detection performance can increase with almost 40 % when the analysis method takes more visual content into account. 1

A Java Library of GUI Components for Image

this report the initial design and implementation issues of the set of core classes of such a library are discussed. This set includes (a.o.) classes for so-called viewing components, canvases, and canvas objects. Furthermore, it is described how GUI components within the library can be combined to form complete applications (but currently without the use of a graphical builder tool). It is assumed that the reader has a basic knowledge of the paradigm of object-oriented programming, which means that at least the terms 'class', 'object', and 'inheritance' should be known. In-depth knowledge of the Java language is not necessary, but helpfu

Feasibility of posture and movement detection by accelerometry

The discrimination of postures and movements using a minimal set of uniaxial accelerometers was investigated. Postures and movements were distinguished on the basis of the high-pass filtered, rectified and low-pass filtered signal of one accelerometer. Postures were discriminated by combining the constant valued signals of the accelerometers, mounted on different segments of the body. One sensor mounted radially on the trunk and one mounted radially or tangentially on the upper leg and lying. Methods are proposed for the discrimination of different cyclical movements

MediaMill: Exploring news video archives based on learned semantics

In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of the system is an unprecedented lexicon of 100 automatically detected semantic concepts. Based on this lexicon we demonstrate how users can obtain highly relevant retrieval results using query-byconcept. In addition, we show how the lexicon of concepts can be exploited for novel applications using advanced semantic visualizations. Several aspects of the MediaMill syste

Accelerometry based assessment of gait parameters in children

The objective of this study was to examine if spatio-temporal gait parameters in healthy children can be determined from accelerations measured at the lower trunk as has been demonstrated in adults, previously. Twenty children aged 3-16 years, participated in a protocol that involved repeated walks of different distances in an indoor environment. During walking, accelerations were measured by three orthogonally mounted acceleration sensors in a small wireless device (DynaPort MiniMod) that was attached to the lower back. Based on an inverted pendulum approach, spatio-temporal gait parameters and walking distances were computed from the acceleration signals. Results were compared to video observations and known walking distances and durations. Steps were successfully detected in 99.6+/-0.6% of all observed steps (n=5554). On average, walking distance was accurately estimated (100.6+/-3.3%, range 93-106.7%). No correlation was found between the number of miscounted steps and the total number of steps or the age of the subject. It can be concluded that the use of an inverted pendulum model provides the possibility to estimate spatio-temporal gait parameters in children as well as in adults. The method allows an inexpensive and comfortable assessment of gait parameters in children, is applicable in controlled, indoor environments and could be tested for applicability under free living conditions