Body Movement

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Nadia Bianchiberthouze - One of the best experts on this subject based on the ideXlab platform.

  • automatic detection of reflective thinking in mathematical problem solving based on unconstrained bodily exploration
    2020
    Co-Authors: Temitayo A Olugbade, Gualtiero Volpe, Joseph W Newbold, Rose Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Nadia Bianchiberthouze
    Abstract:

    For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-1 Movement Dataset of Body Movement sensor data and reflective thinking labels for 26 children solving mathematical problems in unconstrained settings where the Body (full or parts) was required to explore these problems. Further, we provide qualitative analysis of behaviours that observers used in identifying reflective thinking moments in these sessions. The Body Movement cues from our compilation informed features that lead to average F1 score of 0.73 for binary classification of problem-solving episodes by reflective thinking based on Long Short-Term Memory neural networks. We further obtained 0.79 average F1 score for end-to-end classification, i.e. based on raw sensor data. Finally, the algorithms resulted in 0.64 average F1 score for subsegments of these episodes as short as 4 seconds. Overall, our results show the possibility of detecting reflective thinking moments from Body Movement behaviours of a child exploring mathematical concepts bodily, such as within serious game play.

  • automatic detection of reflective thinking in mathematical problem solving based on unconstrained bodily exploration
    2018
    Co-Authors: Temitayo A Olugbade, Gualtiero Volpe, Joseph W Newbold, Rose Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Nadia Bianchiberthouze
    Abstract:

    For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-1 Movement Dataset of Body Movement sensor data and reflective thinking labels for 26 children solving mathematical problems in unconstrained settings where the Body (full or parts) was required to explore these problems. Further, we provide qualitative analysis of behaviours that observers used in identifying reflective thinking moments in these sessions. The Body Movement cues from our compilation informed features that lead to average F1 score of 0.73 for automatic detection of reflective thinking based on Long Short-Term Memory neural networks. We further obtained 0.79 average F1 score for end-to-end detection of reflective thinking periods, i.e. based on raw sensor data. Finally, the algorithms resulted in 0.64 average F1 score for period subsegments as short as 4 seconds. Overall, our results show the possibility of detecting reflective thinking moments from Body Movement behaviours of a child exploring mathematical concepts bodily, such as within serious game play.

  • continuous recognition of player s affective Body expression as dynamic quality of aesthetic experience
    2012
    Co-Authors: N Savva, A Scarinzi, Nadia Bianchiberthouze
    Abstract:

    The emergence of full-Body computer games raises an interesting question: Can Body Movement be used to measure the aesthetic experience of players? In this paper, we aim to take a first step toward answering this question. Such a question emerges from the fact that various studies have shown the dual role of Body Movement, i.e., a window on people's emotional and mental states as well as a means to affect people's cognitive and affective processes. In this paper, first, we investigate the possibility of automatically recognizing the emotional expressions conveyed by the player's Body Movement in a Nintendo sport game. Our results showed that our automatic recognition system achieved recognition rates comparable to human observers' benchmarks. Second, by taking a pragmatist definition of aesthetic experience into account, we argue that the tracked Body expressions do not only express what the player may be feeling. Given their modulating role on cognition and affect, these Body expressions also let the player actively construct and assign affective meanings to the unfolding of the game. We argue that the player's variety of emotional bodily expressions constitutes the emotional rhythmic dynamic of aesthetic experience and, as such, they provide a measure of its distinctive quality.

  • understanding the role of Body Movement in player engagement
    2012
    Co-Authors: Nadia Bianchiberthouze
    Abstract:

    The introduction of full-Body controllers has made computer games more accessible and promises to provide a more natural and engaging experience to players. However, the relationship between Body Movement and game engagement is not yet well understood. In this article, I consider how Body Movement affects the player's experience during game play. I start by presenting a taxonomy of Body Movements observed during game play. These are framed in the context of a Body of previously published research that is then embedded into a novel model of engagement. This model describes the relationship between the taxonomy of Movement and the type of engagement that each class of Movement facilitates. I discuss the factors that may inhibit or enhance such relationship. Finally, I conclude by considering how the proposed model could lead to a more systematic and effective use of Body Movement for enhancing game experience.

  • does Body Movement engage you more in digital game play and why
    2007
    Co-Authors: Nadia Bianchiberthouze, Whan Woong Kim, Darshak Patel
    Abstract:

    In past years, computer game designers have tried to increase player engagement by improving the believability of characters and environment. Today, the focus is shifting toward improving the game controller. This study seeks to understand engagement on the basis of the Body Movements of the player. Initial results from two case-studies suggest that an increase in Body Movement imposed, or allowed, by the game controller results in an increase in the player's engagement level. Furthermore, they lead us to hypothesize that an increased involvement of the Body can afford the player a stronger affective experience. We propose that the contribution of full-Body experience is three-fold: (a) it facilitates the feeling of presence in the digital environment (fantasy); (b) it enables the affective aspects of human-human interaction (communication); and (c) it unleashes the regulatory properties of emotion (affect).

Ulf Ekelund - One of the best experts on this subject based on the ideXlab platform.

  • increasing overall physical activity and aerobic fitness is associated with improvements in metabolic risk cohort analysis of the proactive trial
    2008
    Co-Authors: Rebecca K Simmons, Simon J Griffin, Rebekah M Steele, Nicholas J Wareham, Ulf Ekelund
    Abstract:

    Aims/hypothesis Our aim was to examine the association between change in physical activity energy expenditure (PAEE), total Body Movement (counts per day) and aerobic fitness (maximum oxygen consumption [V : O2max]) over 1 year and metabolic risk among individuals with a family history of diabetes. Methods Three hundred and sixty-five offspring of people with type 2 diabetes underwent measurement of energy expenditure (PAEE measured using the flex heart rate method), total Body Movement (daily activity counts from accelerometry data), V : O2max predicted from a submaximal graded treadmill exercise test and anthropometric and metabolic status at baseline and 1 year (n=321) in the ProActive trial. Clustered metabolic risk was calculated by summing standardised values for waist circumference, fasting triacylglycerol, insulin and glucose, blood pressure and the inverse of HDL-cholesterol. Linear regression was used to quantify the association between changes in PAEE, total Body Movement and fitness and clustered metabolic risk at follow-up. Results Participants increased their activity by 0.01 units PAEE kJ kg �1 day �1 over 1 year. Total Body Movement increased by an average of 9,848 counts per day. Change in total Body Movement (β=�0.066, p=0.004) and fitness (β=�0.056, p=0.003) was associated with clustered metabolic risk at follow-up, independently of age, sex, smoking status, socioeconomic status and baseline metabolic score. Conclusions/interpretation Small increases in activity and fitness were associated with a reduction in clustered metabolic risk in this cohort of carefully characterised at-risk individuals. Further research to quantify the reduction in risk of type 2 diabetes associated with feasible changes in these variables should inform preventive interventions. Clinical trial registration number: ISRCTN61323766.

  • physical activity and metabolic risk in individuals with a family history of type 2 diabetes
    2007
    Co-Authors: Ulf Ekelund, Simon J Griffin, Nicholas J Wareham
    Abstract:

    OBJECTIVE —We sought to examine the independent associations between different dimensions of physical activity with intermediary and clustered metabolic risk factors in overweight individuals with an increased risk of type 2 diabetes to inform future preventive action. RESEARCH DESIGN AND METHODS —We measured total Body Movement and five other subcomponents of physical activity by accelerometry in 258 adults (aged 30–50 years) with a family history of type 2 diabetes. We estimated aerobic fitness from an incremental treadmill exercise test. We measured Body composition by bioimpedance and waist circumference, blood pressure, fasting triglycerides, HDL cholesterol, glucose, and insulin with standard methods. We constructed a standardized continuously distributed variable for clustered risk. RESULTS —Total Body Movement (counts · day−1) was significantly and independently associated with three of six risk factors (fasting triglycerides, insulin, and HDL) and with clustered metabolic risk ( P = 0.004) after adjustment for age, sex, and obesity. Time spent at moderate- and vigorous-intensity physical activity (MPVA) was independently associated with clustered metabolic risk ( P = 0.03). Five- and 10-min bouts of MVPA, time spent sedentary, time spent at light-intensity activity, and aerobic fitness were not significantly related with clustered risk after adjustment for confounding factors. CONCLUSIONS —Total Body Movement is associated with intermediary phenotypic risk factors for cardiovascular disease and metabolic disease and with clustered metabolic risk independent of aerobic fitness and obesity. Increasing the total amount of physical activity in sedentary and overweight individuals may have beneficial effects on metabolic risk factors.

  • Body Movement and physical activity energy expenditure in children and adolescents how to adjust for differences in Body size and age
    2004
    Co-Authors: Ulf Ekelund, Agneta Yngve, Soren Brage, Klaas Westerterp, Michael Sjostrom
    Abstract:

    BACKGROUND: Physical activity data in children and adolescents who differ in Body size and age are influenced by whether physical activity is expressed in terms of Body Movement or energy expenditu ...

Klaus R. R. Scherer - One of the best experts on this subject based on the ideXlab platform.

  • the Body action and posture coding system bap development and reliability
    2012
    Co-Authors: Nele Dael, Marcello Mortillaro, Klaus R. R. Scherer
    Abstract:

    Several methods are available for coding Body Movement in nonverbal behavior research, but there is no consensus on a reliable coding system that can be used for the study of emotion expression. Adopting an integrative approach, we developed a new method, the Body action and posture coding system, for the time-aligned micro description of Body Movement on an anatomical level (different articulations of Body parts), a form level (direction and orientation of Movement), and a functional level (communicative and self-regulatory functions). We applied the system to a new corpus of acted emotion portrayals, examined its comprehensiveness and demonstrated intercoder reliability at three levels: (a) occurrence, (b) temporal precision, and (c) segmentation. We discuss issues for further validation and propose some research applications.

  • Emotion expression in Body action and posture
    2012
    Co-Authors: Nele Dael, Marcello Mortillaro, Klaus R. R. Scherer
    Abstract:

    Emotion communication research strongly focuses on the face and voice as expressive modalities, leaving the rest of the Body relatively understudied. Contrary to the early assumption that Body Movement only indicates emotional intensity, recent studies have shown that Body Movement and posture also conveys emotion specific information. However, a deeper understanding of the underlying mechanisms is hampered by a lack of production studies informed by a theoretical framework. In this research we adopted the Body Action and Posture (BAP) coding system to examine the types and patterns of Body Movement that are employed by 10 professional actors to portray a set of 12 emotions. We investigated to what extent these expression patterns support explicit or implicit predictions from basic emotion theory, bidimensional theory, and componential appraisal theory. The overall results showed partial support for the different theoretical approaches. They revealed that several patterns of Body Movement systematically occur in portrayals of specific emotions, allowing emotion differentiation. Although a few emotions were prototypically expressed by one particular pattern, most emotions were variably expressed by multiple patterns, many of which can be explained as reflecting functional components of emotion such as modes of appraisal and action readiness. It is concluded that further work in this largely underdeveloped area should be guided by an appropriate theoretical framework to allow a more systematic design of experiments and clear hypothesis testing.

  • automated analysis of Body Movement in emotionally expressive piano performances
    2008
    Co-Authors: Ginevra Castellano, Marcello Mortillaro, Antonio Camurri, Gualtiero Volpe, Klaus R. R. Scherer
    Abstract:

    EMOTIONAL EXPRESSION IN MUSIC PERFORMANCE includes important cues arising from the Body Movement of the musician. This Movement is related to both the musical score execution and the emotional intention conveyed. In this experiment, a pianist was asked to play the same excerpt with different emotionally expressive intentions. The aim was to verify whether different expressions could be distinguished based on Movement by trying to determine which motion cues were most emotion-sensitive. Analyses were performed via an automated system capable of detecting the temporal profiles of two motion cues: the quantity of motion of the upper Body and the velocity of head Movements. Results showed that both were sensitive to emotional expression, especially the velocity of head Movements. Further, some features conveying information about Movement temporal dynamics varied among expressive conditions allowing emotion discrimination. These results are in line with recent theories that underlie the dynamic nature of emotional expression.

Takao Inoue - One of the best experts on this subject based on the ideXlab platform.

  • a hybrid radar camera sensing system with phase compensation for random Body Movement cancellation in doppler vital sign detection
    2013
    Co-Authors: Guochao Wang, Takao Inoue
    Abstract:

    This paper presents a Doppler radar vital sign detection system with random Body Movement cancellation (RBMC) technique based on adaptive phase compensation. An ordinary camera was integrated with the system to measure the subject's random Body Movement (RBM) that is fed back as phase information to the radar system for RBMC. The linearity of the radar system, which is strictly related to the circuit saturation problem in noncontact vital sign detection, has been thoroughly analyzed and discussed. It shows that larger Body Movement does not necessarily mean larger radar baseband output. High gain configuration at baseband is required for acceptable SNR in noncontact vital sign detection. The phase compensation at radar RF front-end helps to relieve the high-gain baseband from potential saturation in the presence of large Body Movement. A simple video processing algorithm was presented to extract the RBM without using any marker. Both theoretical analysis and simulation have been carried out to validate the linearity analysis and the proposed RBMC technique. Two experiments were carried out in the lab environment. One is the phase compensation at RF front end to extract a phantom motion in the presence of another large shaker motion, and the other one is to measure the subject person breathing normally but randomly moving his Body back and forth. The experimental results show that the proposed radar system is effective to relieve the linearity burden of the baseband circuit and help compensate the RBM.

  • doppler radar vital sign detection with random Body Movement cancellation based on adaptive phase compensation
    2013
    Co-Authors: Guochao Wang, Takao Inoue
    Abstract:

    This paper presents a Doppler radar sensor system with camera-aided random Body Movement cancellation (RBMC) techniques for noncontact vital sign detection. The camera measures the subject's random Body motion that is provided for the radar system to perform RBMC and extract the uniform vital sign signals of respiration and heartbeat. Three RBMC strategies are proposed: 1) phase compensation at radar RF front-end, 2) phase compensation for baseband complex signals, and 3) Movement cancellation for demodulated signals. Both theoretical analysis and radar simulation have been carried out to validate the proposed RBMC techniques. An experiment was carried out to measure a subject person who was breathing normally but randomly moving his Body back and forth. The experimental result reveals that the proposed radar system is effective for RBMC.

Jenshan Lin - One of the best experts on this subject based on the ideXlab platform.

  • random Body Movement cancellation in doppler radar vital sign detection
    2008
    Co-Authors: Changzhi Li, Jenshan Lin
    Abstract:

    The complex signal demodulation and the arctangent demodulation are studied for random Body Movement cancellation in quadrature Doppler radar noncontact vital sign detection. This technique can be used in sleep apnea monitor, lie detector, and baby monitor to eliminate the false alarm caused by random Body Movement. It is shown that if the dc offset of the baseband signal is accurately calibrated, both demodulation techniques can be used for random Body Movement cancellation. While the complex signal demodulation is less likely to be affected by a dc offset, the arctangent demodulation has the advantage of eliminating harmonic and intermodulation interference at high carrier frequencies. When the dc offset cannot be accurately calibrated, the complex signal demodulation is more favorable. Ray-tracing model is used to show the effects of constellation deformation and optimum/null detection ambiguity caused by the phase offset due to finite antenna directivity. Experiments have been performed using 4-7 GHz radar to verify the theory.

  • complex signal demodulation and random Body Movement cancellation techniques for non contact vital sign detection
    2008
    Co-Authors: Jenshan Lin
    Abstract:

    A complex signal demodulation technique is proposed to eliminate the null detection point problem in non-contact vital sign detection. This technique is robust against DC offset in direct conversion system. Based on the complex signal demodulation, a random Body Movement cancellation technique is developed to cancel out strong noise caused by random Body Movement in non-contact vital sign monitoring. Multiple transceivers and antennas with polarization and frequency multiplexing are used to detect signals from different Body orientations. The noise due to random Body Movement is cancelled out based on different patterns of the desired and undesired signals. Experiments by highly compact 5–6 GHz portable radar systems have been performed to verify these two techniques.