Towards view-invariant gait modeling: Computing view-normalized body part trajectories

This paper proposes an approach to compute view-normalized body part trajectories of pedestrians walking on potentially non-linear paths. The proposed approach finds applications in gait modeling, gait biometrics, and in medical gait analysis. Our approach uses the 2D trajectories of both feet and the head extracted from the tracked silhouettes. On that basis, it computes the apparent walking (sagittal) planes for each detected gait half-cycle. A homography transformation is then computed for each walking plane to make it appear as if walking was observed from a fronto-parallel view. Finally, each homography is applied to head and feet trajectories over each corresponding gait half-cycle. View normalization makes head and feet trajectories appear as if seen from a fronto-parallel viewpoint, which is assumed to be optimal for gait modeling purposes. The proposed approach is fully automatic as it requires neither manual initialization nor camera calibration. An extensive experimental evaluation of the proposed approach confirms the validity of the normalization process.     

Robot learning language — Integrating programming and learning for cognitive systems

One central property of cognitive systems is the ability to learn and to improve continually. We present a robot control language that combines programming and learning in order to make learning executable in the normal robot program. The language constructs of our learning language RoLL rely on the concept of hierarchical hybrid automata to enable a declarative, explicit specification of learning problems. Using the example of an autonomous household robot, we point out some instances where learning–and especially continued learning–makes the robot control program more cognitive.     

A Jump Inversion Theorem for the Degree Spectra

In the present article, we continue the study of the propertiesof the spectra of structures as sets of degrees initiated in[11]. Here, we consider the relationships between the spectraand the jump spectra. Our first result is that every jump spectrumis also a spectrum. The main result sounds like a Jump inversiontheorem. Namely, we show that if a spectrum is contained inthe set of the jumps of the degrees in some spectrum then thereexists a spectrum such that and is equal to the set of thejumps of the degrees in .     

The impact of false warnings on partial and full lane departure warnings effectiveness and acceptance in car driving

In the past, lane departure warnings (LDWs) were demonstrated to improve driving behaviours during lane departures but little is known about the effects of unreliable warnings. This experiment focused on the influence of false warnings alone or in combination with missed warnings and warning onset on assistance effectiveness and acceptance. Two assistance unreliability levels (33 and 17%) and two warning onsets (partial and full lane departure) were manipulated in order to investigate interaction. Results showed that assistance, regardless unreliability levels and warning onsets, improved driving behaviours during lane departure episodes and outside of these episodes by favouring better lane-keeping performances. Full lane departure and highly unreliable warnings, however, reduced assistance efficiency. Drivers’ assistance acceptance was better for the most reliable warnings and for the subsequent warnings. The data indicate that imperfect LDWs (false warnings or false and missed warnings) further improve driving behaviours compared to no assistance.

Practitioner Summary: This study revealed that imperfect lane departure warnings are able to significantly improve driving performances and that warning onset is a key element for assistance effectiveness and acceptance. The conclusion may be of particular interest for lane departure warning designers.     

ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data

Widespread use of GPS and similar technologies makes it possible to collect extensive amounts of trajectory data. These data sets are essential for reasonable decision making in various application domains. Additional information, such as events taking place along a trajectory, makes data analysis challenging, due to data size and complexity. We present an integrated solution for interactive visual analysis and exploration of events along trajectories data. Our approach supports analysis of event sequences at three different levels of abstraction, namely spatial, temporal, and events themselves. Customized views as well as standard views are combined to form a coordinated multiple views system. In addition to trajectories and events, we include on-the-fly derived data in the analysis. We evaluate our integrated solution using the IEEE VAST 2015 Challenge data set. A successful detection and characterization of malicious activity indicate the usefulness and efficiency of the presented approach.     

Variations in the Usability of Independent Web-Based Personal Health Records

ABSTRACT

Previous research on personal health records (PHRs) has focused on applications that are “tethered” to a specific electronic health record (EHR). However, there is a gap in research on the usability of unaffiliated, independent PHRs, as well as research on college-aged PHR users. Therefore, we performed a comparative usability study with 18 college-aged participants on three popular, freely available, independent PHRs. Participants completed the same six tasks in three different PHRs. Dependent variables included task time, mouse movement, mouse clicks, keystrokes, errors, and user satisfaction ratings based on the Computer System Usability Questionnaire (CSUQ). Analysis of variance (ANOVA) was used to determine the significance in the difference of the means for each dependent variable. Results showed statistically significant differences in CSUQ survey categories, errors, and keystrokes. Results supported one of the three PHRs (“System A”) as having better usability than its tested counterparts; participants scored best in System A of all categories of the CSUQ, and used System A with less mouse movement, commission errors, and keystrokes than the other PHRs.     

Towards a unified framework for opinion retrieval, mining and summarization

The exponential increase of subjective, user-generated content since the birth of the Social Web, has led to the necessity of developing automatic text processing systems able to extract, process and present relevant knowledge. In this paper, we tackle the Opinion Retrieval, Mining and Summarization task, by proposing a unified framework, composed of three crucial components (information retrieval, opinion mining and text summarization) that allow the retrieval, classification and summarization of subjective information. An extensive analysis is conducted, where different configurations of the framework are suggested and analyzed, in order to determine which is the best one, and under which conditions. The evaluation carried out and the results obtained show the appropriateness of the individual components, as well as the framework as a whole. By achieving an improvement over 10% compared to the state-of-the-art approaches in the context of blogs, we can conclude that subjective text can be efficiently dealt with by means of our proposed framework.     

Validation of reported events from a vertical chute marine evacuation study

Background

The use of vertical chute marine evacuation systems (MES) is now well established on board marine passenger vessels; this system has yet to be deployed in an emergency situation, however, it has been associated with a fatality and several major injuries during training. Brunel University's Ethics Committee endorsed an initial retrospective cross sectional study (Harwood and Farrow, 2008) and the present quantitative observational study. Harwood and Farrow (2008) found that the physical, physiological and psychological characteristics of potential evacuees increased the likelihood of injury and adversely affected the reliability of the system.

Purpose

The validation of factors associated with the adverse outcomes recorded by Harwood and Farrow (2008) during vertical chute MES training, and to assess the hypothesis that evacuee's clothing material will affect the efficiency of the system.

Design

Observational data in a marine training establishment providing a triangulation measurement process of evidence from the retrospective study (Harwood and Farrow, 2008). Subjects were three hundred and seventy five representative participants on training courses for evacuation from a ship into inflated life rafts. The main outcome measures were stopping during descent and exiting the chute in an undesirable position.

Results

6.1% stopped momentarily during descent; 20.3% exited the chute in an undesirable position; on entering the raft 7.7% flipped over and 9.1% had their legs tucked up under their bodies. Independent variables including evacuees' clothing material were statistically significantly associated with adverse outcomes. Participants stopping during descent had an RR of 3.03 (95% CI 1.38, 6.64) for exiting the chute in an undesirable position.

Conclusions

This quantitative observational study broadly supported the results obtained from the retrospective cross sectional study (Harwood and Farrow, 2008). Stopping during descent and evacuee clothing increased the likelihood of undesirable outcomes and impacted on the efficiency of the system.     

The Significance of Epithelial-to-Mesenchymal Transition for Circulating Tumor Cells

Epithelial to mesenchymal transition (EMT) is a process involved in embryonic development, but it also plays a role in remote metastasis formation in tumor diseases. During this process cells lose their epithelial features and adopt characteristics of mesenchymal cells. Thereby single tumor cells, which dissolve from the primary tumor, are enabled to invade the blood vessels and travel throughout the body as so called “circulating tumor cells” (CTCs). After leaving the blood stream the reverse process of EMT, the mesenchymal to epithelial transition (MET) helps the cells to seed in different tissues, thereby generating the bud of metastasis formation. As metastasis is the main reason for tumor-associated death, CTCs and the EMT process are in the focus of research in recent years. This review summarizes what was already found out about the molecular mechanisms driving EMT, the consequences of EMT for tumor cell detection, and suitable markers for the detection of CTCs which underwent EMT. The research work done in this field could open new roads towards combating cancer.