Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping

We present an autoencoder-based semi-supervised approach to classify perceived human emotions from walking styles obtained from videos or motion-captured data and represented as sequences of 3D poses. Given the motion on each joint in the pose at each time step extracted from 3D pose sequences, we hierarchically pool these joint motions in a bottom-up manner in the encoder, following the kinematic chains in the human body. We also constrain the latent embeddings of the encoder to contain the space of psychologically-motivated affective features underlying the gaits. We train the decoder to reconstruct the motions per joint per time step in a top-down manner from the latent embeddings. For the annotated data, we also train a classifier to map the latent embeddings to emotion labels. Our semi-supervised approach achieves a mean average precision of 0.84 on the Emotion-Gait benchmark dataset, which contains both labeled and unlabeled gaits collected from multiple sources. We outperform current state-of-art algorithms for both emotion recognition and action recognition from 3D gaits by 7%--23% on the absolute. More importantly, we improve the average precision by 10%--50% on the absolute on classes that each makes up less than 25% of the labeled part of the Emotion-Gait benchmark dataset.Comment: In proceedings of the 16th European Conference on Computer Vision, 2020. Total pages 18. Total figures 5. Total tables

The impact of family structure and disruption on intergenerational emotional exchange in Eastern Europe

Demographic trends across Europe involve a decrease in fertility and mortality rates, and an increase in divorce and stepfamily formation. Life courses and living arrangements have become less standardized and the structure of families has changed. In this article, we examine to what extent contemporary family structure and composition resulting from demographic changes affect emotional exchange between children and their parents, both from adult child to parent and from parent to child. Because the general level of well-being has been shown to be lower in Eastern Europe, thereby potentially affecting emotional exchange within families, we focus our research on Eastern Europe. We use the “conservation of resources theory” to derive hypotheses on how family structure may affect intergenerational emotional exchange. Family ties are assumed to be important resources of affection that people want to obtain and retain throughout their lives. Data from the Generations and Gender Survey (GGS) are used to test our hypotheses. In general, our data offer more support for the idea that families are resilient than for the often heard assumption that families are in decline as a consequence of the changed family structure and composition

Averages of b-hadron, c-hadron, and tau-lepton properties as of 2018 Heavy Flavor Averaging Group (HFLAV)

This paper reports world averages of measurements of b-hadron, c-hadron, and τ -lepton properties obtained by the Heavy Flavour Averaging Group using results available through September 2018. In rare cases, significant results obtained several months later are also used. For the averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters, C P violation parameters, parameters of semileptonic decays, and Cabibbo–Kobayashi–Maskawa matrix elements