Objective estimation of pain based on facial expression, vital signs and body movements

2000 ◽  
Vol 14 (5) ◽  
pp. 413-414 ◽  
Author(s):  
Taketoshi Mori ◽  
Yukiko Okazaki ◽  
Tomoya Kawai ◽  
Tomomasa Sato
Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3396
Author(s):  
Fatima Sekak ◽  
Kawtar Zerhouni ◽  
Fouzia Elbahhar ◽  
Madjid Haddad ◽  
Christophe Loyez ◽  
...  

Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological parameters in a non-contact manner. Since the RF-reflected signal from the human body is corrupted by noise and random body movements, traditional Fourier analysis fails to detect the heart and breathing frequencies. In this effort, cyclostationary analysis has been used to improve the radar performance for non-invasive measurement of respiratory rate and heart rate. However, the preliminary works focus only on one frequency and do not include the impact of attenuation and random movement of the body in the analysis. Hence in this paper, we evaluate the impact of distance and noise on the cyclic features of the reflected signal. Furthermore, we explore the assessment of second order cyclostationary signal processing performance by developing the cyclic mean, the conjugate cyclic autocorrelation and the cyclic cumulant. In addition, the analysis is carried out using a reduced number of samples to reduce the response time. Implementation of the cyclostationary technique using a bi-static radar configuration at 2.5 GHz is shown as an example to demonstrate the proposed approach.


Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5503
Author(s):  
Xinyue Zhang ◽  
Xiuzhu Yang ◽  
Yi Ding ◽  
Yili Wang ◽  
Jialin Zhou ◽  
...  

Vital signs monitoring in physical activity (PA) is of great significance in daily healthcare. Impulse Radio Ultra-WideBand (IR-UWB) radar provides a contactless vital signs detection approach with advantages in range resolution and penetration. Several researches have verified the feasibility of IR-UWB radar monitoring when the target keeps still. However, various body movements are induced by PA, which lead to severe signal distortion and interfere vital signs extraction. To address this challenge, a novel joint chest–abdomen cardiopulmonary signal estimation approach is proposed to detect breath and heartbeat simultaneously using IR-UWB radars. The movements of target chest and abdomen are detected by two IR-UWB radars, respectively. Considering the signal overlapping of vital signs and body motion artifacts, Empirical Wavelet Transform (EWT) is applied on received radar signals to remove clutter and mitigate movement interference. Moreover, improved EWT with frequency segmentation refinement is applied on each radar to decompose vital signals of target chest and abdomen to vital sign-related sub-signals, respectively. After that, based on the thoracoabdominal movement correlation, cross-correlation functions are calculated among chest and abdomen sub-signals to estimate breath and heartbeat. The experiments are conducted under three kinds of PA situations and two general body movements, the results of which indicate the effectiveness and superiority of the proposed approach.


Author(s):  
Giovanni Diraco ◽  
Alessandro Leone ◽  
Pietro Siciliano

Continuous in-home monitoring of older adults living alone aims to improve their quality of life and independence, by detecting early signs of illness and functional decline or emergency conditions. To meet requirements for technology acceptance by seniors (unobtrusiveness, non-intrusiveness, privacy-preservation), this study presents and discusses a new smart sensor system for the detection of abnormalities during daily activities, based on ultra-wideband radar providing rich, not privacy-sensitive, information useful for sensing both cardiorespiratory and body movements, regardless of ambient lighting conditions and physical obstructions (through-wall sensing). The radar sensing is a very promising technology, enabling the measurement of vital signs and body movements at a distance, and thus meeting both requirements of unobtrusiveness and accuracy. In particular, impulse-radio ultra-wideband radar has attracted considerable attention in recent years thanks to many properties that make it useful for assisted living purposes. The proposed sensing system, evaluated in meaningful assisted living scenarios by involving 30 participants, exhibited the ability to detect vital signs, to discriminate among dangerous situations and activities of daily living, and to accommodate individual physical characteristics and habits. The reported results show that vital signs can be detected also while carrying out daily activities or after a fall event (post-fall phase), with accuracy varying according to the level of movements, reaching up to 95% and 91% in detecting respiration and heart rates, respectively. Similarly, good results were achieved in fall detection by using the micro-motion signature and unsupervised learning, with sensitivity and specificity greater than 97% and 90%, respectively.


2008 ◽  
Vol 12 (1_suppl) ◽  
pp. 169-195 ◽  
Author(s):  
Ellen Dissanayake

This article departs from many discussions of the origin, evolution, and adaptive function(s) of music by treating music not as perceptual qualities (pitch, timbre, meter), formal elements (prosody, melody, harmony, rhythm), performed activity (singing, drumming), or genre (lullaby, song, dance). Rather, music is conceptualized as a behavioral and motivational capacity: what is done to sounds and pulses when they are “musified” — made into music — and why. For this new view, I employ the ethological notion of ritualization, wherein ordinary communicative behaviors (e.g., sounds, movements) are altered through formalization, repetition, exaggeration, and elaboration, thereby attracting attention and arousing and shaping emotion. The universal sensitivity of infants as young as 8 weeks to such alterations of (or operations on) voice, facial expression, and body movements, when these are presented to them by adults in intimate dyadic interactions within a shared temporal framework, suggests an evolved, adaptive capacity that enabled and reinforced emotional bonding. Such proto-aesthetic (proto-musical) operations existed as a reservoir from which individual cultures could draw when inventing art-saturated ritual ceremonies that united groups temporally and emotionally as they did mother-infant pairs. Music in its origins and evolution is assumed to be multimodal (visual and kinesic, as well as aural) and a social — not solitary — activity. An appendix describes important structural and functional resemblances between music, mother-infant interaction, ceremonial ritual, and adult courtship and lovemaking (as differentiated from copulation). These resemblances suggest not only an evolutionary relationship among these behaviors but argue for the existence of an evolved amodal neural propensity in the human species to respond — cognitively and emotionally — to dynamic temporal patterns produced by other humans in contexts of affiliation.


2020 ◽  
Vol 68 (1) ◽  
pp. 59-82 ◽  
Author(s):  
Ruth Graver

Video microanalysis, a technique developed by infant researchers, is used to understand the withdrawal that developed between analyst and analysand when the latter resumed use of the couch after a period of sitting up. The case includes three excerpts of microprocess, accompanied by descriptions of content apart from explicit verbal material, content such as tone of voice, speech patterns, facial expression, and body movements, along with diagrams showing the second-by-second vocal rhythm coordination of analyst and analysand. Supervision using the video, as well as the analyst’s viewing the video with the analysand in a modified use of video feedback, widened the pair’s understanding of the determinants of their mutual participation in withdrawal and a feeling of deadness, thus freeing them from the repetition of an enactment. It is shown how (1) movement to the couch created an affectively heightened state that brought central psychodynamic aspects of the analysand’s experience to the fore; (2) video microanalysis allowed access to previously unavailable content; and (3) understanding of unconscious, dynamically determined conflicts and defenses embedded in body movement, facial expression, speech tone, and rhythm patterns illuminated facets of the co-created relatedness between analysand and analyst.


2012 ◽  
Vol 3 (1) ◽  
pp. 18-32 ◽  
Author(s):  
Marcello Mortillaro ◽  
Ben Meuleman ◽  
Klaus R. Scherer

Most models of automatic emotion recognition use a discrete perspective and a black-box approach, i.e., they output an emotion label chosen from a limited pool of candidate terms, on the basis of purely statistical methods. Although these models are successful in emotion classification, a number of practical and theoretical drawbacks limit the range of possible applications. In this paper, the authors suggest the adoption of an appraisal perspective in modeling emotion recognition. The authors propose to use appraisals as an intermediate layer between expressive features (input) and emotion labeling (output). The model would then be made of two parts: first, expressive features would be used to estimate appraisals; second, resulting appraisals would be used to predict an emotion label. While the second part of the model has already been the object of several studies, the first is unexplored. The authors argue that this model should be built on the basis of both theoretical predictions and empirical results about the link between specific appraisals and expressive features. For this purpose, the authors suggest to use the component process model of emotion, which includes detailed predictions of efferent effects of appraisals on facial expression, voice, and body movements.


2018 ◽  
Vol 66 (9) ◽  
pp. 4261-4270 ◽  
Author(s):  
Qinyi Lv ◽  
Lei Chen ◽  
Kang An ◽  
Jun Wang ◽  
Huan Li ◽  
...  

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