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This paper proposed a Hadoop-based iterative sampling approximate aggregation query processing method. According to the user desire precision and the first sample data, we could compute the sample size to meet the user desired precision. In order to avoid the effects of data bias, this paper proposed a “layered sampling” method to ensure that the approximate aggregation result is statistically meaningful.
Current monitoring techniques for biomechanical analysis typically capture a snapshot of the state of the subject due to challenges associated with long-term monitoring. Continuous long-term capture of biomechanics can be used to assess performance in the workplace and rehabilitation at home. Noninvasive motion capture using small low-power wearable sensors and camera systems have been explored, however,...
Pervasive human motion capture in the workplace facilitates detailed analysis of the actions of individual subjects and team interaction. It is also important for ergonomic studies for assessing instrument design and workflow analysis. However, a busy, dynamic, team-based environment, such as the operating theatre poses a number of challenges for the currently used marker-based and sensor-based motion...
Accurate recovery of the 3D structure of a deforming surgical environment during minimally invasive surgery is important for intra-operative guidance. One key component of reliable reconstruction is accurate camera pose estimation, which is challenging for monocular cameras due to the paucity of reliable salient features, coupled with narrow baseline during surgical navigation. With recent advances...
Human motion capture technologies are widely used in interactive game and learning, animation, film special effects, health-care and navigation. Because of the agility, upper limb motion estimation is the most difficult in human motion capture. Traditional methods always assume that the movements of upper arm and forearm are independent and estimate their movements separately; therefore, the estimated...
Tracking multiple maneuvering targets remains a challenge because of clutter and spurious targets. We propose a signature driven multiple target tracking (SDT) method which uses target signature in spectral, spatial and temporary spaces as well as the Markov property of target movement, so that the data association process in SDT is very efficient and effective. The experimental results have shown...
Hip angle is a major parameter in gait analysis while gait analysis plays important role in health-care, animation and other applications. Accurate and robust estimation of hip angle in ambulatory environment remains a challenge because the non-linear nature of thigh movement has not been well studied yet. Although piece-wise linear model is effective to approximate the non-linear model, the current...
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