Indoor Activity Detection and Recognition for Sport Games Analysis

Activity recognition in sport is an attractive field for computer vision research. Game, player and team analysis are of great interest and research topics within this field emerge with the goal of automated analysis. The very specific underlying rules of sports can be used as prior knowledge for the recognition task and present a constrained environment for evaluation. This paper describes recognition of single player activities in sport with special emphasis on volleyball. Starting from a per-frame player-centered activity recognition, we incorporate geometry and contextual information via an activity context descriptor that collects information about all player's activities over a certain timespan relative to the investigated player. The benefit of this context information on single player activity recognition is evaluated on our new real-life dataset presenting a total amount of almost 36k annotated frames containing 7 activity classes within 6 videos of professional volleyball games. Our incorporation of the contextual information improves the average player-centered classification performance of 77.56% by up to 18.35% on specific classes, proving that spatio-temporal context is an important clue for activity recognition.Comment: Part of the OAGM 2014 proceedings (arXiv:1404.3538

The first antenatal appointment: An exploratory study of the experiences of women with a diagnosis of mental illness

Objective to explore and gain insight into the expectations and experiences of women with a pre-existing diagnosis of mental illness, of their first booking appointment; to make recommendations for practice development and collaborative partnership working between healthcare professionals. Design a qualitative design using semi structured interviews and thematic analysis of the data. QSR NVivo 10 software is used to organise the data into themes. Setting the interviews took place either at the women׳s homes, or within the antenatal service with the consent of the woman and relevant practitioners. Participants twelve participants were selected from one antenatal clinic and one perinatal mental health service. Findings the themes identified within the data included the lack of information prior to the initial midwife booking appointment; the perception of too much information at the initial booking appointment and women not being clear about their mental health needs at this time; a general positivity about disclosing mental illness diagnoses; overall positive thoughts about midwives although some midwives appeared less knowledgeable about bipolar disorder, and perceptions about a lack of joined up working between antenatal and perinatal mental health services. Key conclusions and implications for practice it is recommended that GPs receive adequate training in order to equip them with the skills needed to discuss sensitive issues around perinatal mental illness and the impact on pregnancy and childbirth. Women require more information about their booking appointment, and it would be beneficial for their emotional and physical health needs to be assessed at each follow-up antenatal appointment. Midwives need to be facilitated to receive up-to-date knowledge of antenatal and postnatal mental illness and treatments, and the referral process to perinatal mental health services

Gestating bodies: sensing foetal movement in first-time pregnancy

A large body of literature engages with personal accounts of pregnancy to illustrate the subjugation of women's embodied experience by practices of biomedicine. This article explores this issue through women's accounts of sensing initial foetal movement, drawn from qualitative interviews with 15 women resident in the UK. Participants depict this aspect of pregnant embodiment as ambiguous and indefinite, in contrast to clinical and popular representations of foetal movement. In highlighting the uncertainties characteristic of this corporeal event, the article adds to literature destabilising understandings of pregnant women's and foetal bodies as bounded and distinct. Ambiguous experiences of foetal movement arise in the context of sociocultural framings of pregnancy as ‘at risk’, and in turn, may be seen to contribute to these representations, with some participants articulating that uncertain sensations could provoke anxiety. In this article, perceptions of foetal movement are emphasised as valuable to women, and as inextricable from the social settings in which they emerge. This research has implications for sociological and feminist discussions of pregnancy, and work exploring the mutual shaping of corporeality and sociocultural contexts more widely

The Generationing of Power: A Comparison of Child-Parent and Sibling Relations in Scotland

The paper concentrates on an exploration of power relations within families. The paper discusses parental power in relation to legitimacy, household resources and children’s anticipated reactions of adult discipline. The nature of sibling power is highlighted before exploring the reciprocal expectations of sibling and child-parent interactions. The paper ends by suggesting that the generationing of power relations can lead to differing degrees of backstage and frontstage performances within the home

A systematic review, evidence synthesis and meta-analysis of quantitative and qualitative studies evaluating the clinical effectiveness, the cost-effectiveness, safety and acceptability of interventions to prevent postnatal depression

Background: Postnatal depression (PND) is a major depressive disorder in the year following childbirth, which impacts on women, their infants and their families. A range of interventions has been developed to prevent PND. Objectives: To (1) evaluate the clinical effectiveness, cost-effectiveness, acceptability and safety of antenatal and postnatal interventions for pregnant and postnatal women to prevent PND; (2) apply rigorous methods of systematic reviewing of quantitative and qualitative studies, evidence synthesis and decision-analytic modelling to evaluate the preventive impact on women, their infants and their families; and (3) estimate cost-effectiveness. Data sources: We searched MEDLINE, EMBASE, Science Citation Index and other databases (from inception to July 2013) in December 2012, and we were updated by electronic alerts until July 2013. Review methods: Two reviewers independently screened titles and abstracts with consensus agreement. We undertook quality assessment. All universal, selective and indicated preventive interventions for pregnant women and women in the first 6 postnatal weeks were included. All outcomes were included, focusing on the Edinburgh Postnatal Depression Scale (EPDS), diagnostic instruments and infant outcomes. The quantitative evidence was synthesised using network meta-analyses (NMAs). A mathematical model was constructed to explore the cost-effectiveness of interventions contained within the NMA for EPDS values. Results: From 3072 records identified, 122 papers (86 trials) were included in the quantitative review. From 2152 records, 56 papers (44 studies) were included in the qualitative review. The results were inconclusive. The most beneficial interventions appeared to be midwifery redesigned postnatal care [as shown by the mean 12-month EPDS score difference of –1.43 (95% credible interval –4.00 to 1.36)], person-centred approach (PCA)-based and cognitive–behavioural therapy (CBT)-based intervention (universal), interpersonal psychotherapy (IPT)-based intervention and education on preparing for parenting (selective), promoting parent–infant interaction, peer support, IPT-based intervention and PCA-based and CBT-based intervention (indicated). Women valued seeing the same health worker, the involvement of partners and access to several visits from a midwife or health visitor trained in person-centred or cognitive–behavioural approaches. The most cost-effective interventions were estimated to be midwifery redesigned postnatal care (universal), PCA-based intervention (indicated) and IPT-based intervention in the sensitivity analysis (indicated), although there was considerable uncertainty. Expected value of partial perfect information (EVPPI) for efficacy data was in excess of £150M for each population. Given the EVPPI values, future trials assessing the relative efficacies of promising interventions appears to represent value for money. Limitations: In the NMAs, some trials were omitted because they could not be connected to the main network of evidence or did not provide EPDS scores. This may have introduced reporting or selection bias. No adjustment was made for the lack of quality of some trials. Although we appraised a very large number of studies, much of the evidence was inconclusive. Conclusions: Interventions warrant replication within randomised controlled trials (RCTs). Several interventions appear to be cost-effective relative to usual care, but this is subject to considerable uncertainty. Future work recommendations: Several interventions appear to be cost-effective relative to usual care, but this is subject to considerable uncertainty. Future research conducting RCTs to establish which interventions are most clinically effective and cost-effective should be considered

Pairwise linear regression: An efficient and fast multi-view facial expression recognition

Abstract — Multi-view facial expression recognition (MFER) is an active research topic in facial analysis. In fact, not only the accuracy but also time complexity is desirable for real applications. In this paper, we introduce a new fast and robust approach for recognizing facial expressions in arbitrary views. Our approach relies on learning linear regressions between pairs of non-frontal and frontal sets to virtually compensate occluded facial parts. We learn linear regression for projecting from non-frontal to frontal views. Such approx-imated frontal training features are applied for training view specific facial expression classifiers. We propose a number of different variants of our approach, including sparse encoding and ridge-regression for feature representation. While classical pose specific methods strongly depend on the quality of the pose estimation step, our approaches maintain their superior behavior even under severe pose noise. We evaluate on both BU3DFE and Multi-PIE datasets and outperform the state-of-the-art in classification accuracy, even with a simple pose specific baseline method, while being extremely robust to feature noise and erroneous viewpoint estimation with our pairwise regression approaches. I