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- Jarvis, S., et al.
(författare)
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Case gender and severity in cerebral palsy varies with intrauterine growth
- 2005
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Ingår i: Arch Dis Child. - 1468-2044. ; 90:5, s. 474-9
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: There is an unexplained excess of cerebral palsy among male babies. There is also variation in the proportion of more severe cases by birth weight. It has recently been shown that the rate of cerebral palsy increases as intrauterine size deviates up or down from an optimum about one standard deviation heavier than population mean weight-for-gestation. AIMS: To determine whether the gender ratio or the severity of cases also varies with intrauterine size. METHODS: A total of 3454 cases of cerebral palsy among single births between 1976 and 1990 with sufficient data to assign case severity (based on intellectual impairment and walking ability) and to compare weight-for-gestation at birth to sex specific fetal growth standards, were aggregated from nine separate registers in five European countries. RESULTS: The greater the degree to which growth deviates either up or down from optimal weight-for-gestation at birth, the higher is the rate of cerebral palsy, the larger is the proportion of male cases, and the more severe is the functional disability. Compared to those with optimum growth the risk of more severe cerebral palsy in male babies is 16 times higher for those with a birth weight below the 3rd centile and four times higher when birth weight is above the 97th centile. In contrast, for mild cerebral palsy in female babies the excess risks at these growth extremes are about half these magnitudes. CONCLUSIONS: Among singleton children with cerebral palsy, abnormal intrauterine size, either small or large, is associated with more severe disability and male sex.
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2. |
- Peltason, J., et al.
(författare)
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Mixed-initiative in human augmented mapping
- 2009
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Ingår i: ICRA. - : IEEE. - 9781424427895 ; , s. 2146-2153
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Konferensbidrag (refereegranskat)abstract
- In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the "learning by interacting" paradigm goes hand in hand with appropriate representations and learning methods. In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map acquisition process. We propose the integration of an environment representation approach into our interactive learning framework. The environment representation and mapping system supports both user driven and data driven strategies for the acquisition of spatial information, so that a mixed initiative strategy for the learning process is realised. We evaluate our system with test runs according to the scenario of a guided tour, extending the area of operation from structured laboratory environment to less predictable domestic settings.
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3. |
- Spexard, T., et al.
(författare)
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Interaction awareness for joint environment exploration
- 2007
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Ingår i: 2007 RO-MAN. - New York : IEEE. - 1424416345 - 9781424416349 ; , s. 546-551
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Konferensbidrag (refereegranskat)abstract
- An important goal for research on service robots is the cooperation of a human and a robot as team. A service robot in a domestic environment needs to build a representation of its future workspace that corresponds to the human user's understanding of these surroundings. But it also needs to apply this model about the "where" and "what" in its current interaction to allow communication about objects and places in a human-adequate way. In this paper we present the integration of a hierarchical robotic mapping system into an interactive framework controlled by a dialog system. The goal is to use interactively acquired environment models to implement a robot with interaction aware behaviors. A major contribution of this work is a three-level hierarchy of spatial representation affecting three different communication dimensions. This hierarchy is consequently applied in the design of the grounding-based dialog, laser-based topological mapping, and an objects attention system. We demonstrate the benefits of this integration for learning and tour guiding in a human-comprehensible interaction between a robot and its user in a home-tour scenario. The enhanced interaction capabilities are crucial for developing a new generation of robots that will be accepted not only as service robots but also as robot companions.
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