A person does communication between each other using language. But, In the case of disabled person, he/she could not transfer own idea to others by using the writing or gesture. We embodied communication system using the facial muscle signals so that disabled person can do communication. After feature extraction from the facial muscle signals, it is converted to the control signal, and then disabled person could transfer his/her intention by select characters.
Disabled Persons ; Facial Muscles* ; Gestures ; Humans ; Intention ; Writing

Emotion recognition will be prosperious in multifarious applications, like distance education, healthcare, and human-computer interactions, etc. Emotions can be recognized from the behavior signals such as speech, facial expressions, gestures or the physiological signals such as electroencephalogram and electrocardiogram. Contrast to other methods, the physiological signals based emotion recognition can achieve more objective and effective results because it is almost impossible to be disguised. This paper introduces recent advancements in emotion research using physiological signals, specified to its emotion model, elicitation stimuli, feature extraction and classification methods. Finally the paper also discusses some research challenges and future developments.
Electrocardiography ; Electroencephalography ; Emotions ; physiology ; Facial Expression ; Gestures ; Humans ; Models, Theoretical

BACKGROUND & PURPOSE: Ideomotor apraxia is a gestural deficit which is not due to primary sensory or motor deficit, poor auditory comprehension or incooperation. Previous studies on apraxia in AD patients include advanced AD patients who exhibited marked impairment in auditory comprehension, This might have confounded the results of the studies. The purpose of this study is to observe the frequencies and patterns of gestural errors in the early stage of AD. METHOD: Eighteen patients with AD (M : F = 4 : 14, age 62.6 + 7.2) and eighteen age- and sex- matched controls participated in this research. Patients who scored below 80 % of Western Aphasia Battery comprehension subtest and showed marked cognitive impairments were excluded (MMSE; 19.9 + 4.4, CDR 1.1+/- 0.5). Gestures. In response to commands were videotaped and analyzed by 2 neurologists and 1 speech-language pathologist. Test items included 3 types of movements ; 10 limb intrasitive, 15 transitive, and 10 buccofacial. RESULTS: Limb transitive movements were the most affected while buccofacial was the least. The error patterns most frequently observed were body-part-as-objects (BPO, 20%), external configuration orientation (ECO, 16%), and movement error(M, 9%). In comparision, BPO, ECO, M errors in normal control were 2%, 3%, and 4% respectively. In addition, apraxia item, which are to detecting AD were identified. CONCLUSION: It is suggested that the apraxia is commonly associated with AD even in the early stage of the disease and an accurate anaIysis of errors may contribute to establishing an early diagnosis of AD.
Alzheimer Disease* ; Aphasia ; Apraxia, Ideomotor* ; Apraxias ; Comprehension ; Early Diagnosis ; Extremities ; Gestures ; Humans

Gender is determined at fertilization. However, gender mentally decision is another issue. Transgender is a familiar word in general populations, but the definition of transgender and exact managements are not familiar to physicians including gynecologists. Transgender is not well received for health care benefits, because primary care about the transgender is not known to the physicians. Transgender is hidden in the social health care system, Transgender individuals wish to be assisted to feminize or masculinize their bodies including gestures, facial expression etc. Primary health care for transgender diversely includes psychological, medical, and surgical treatments. Basic management of transgender is hormonal therapy, thus we should guide the management for appropriate hormone therapies. Our review article provides guidelines for the gynecologist to assist and to help the transgender for primary care.
Delivery of Health Care ; Facial Expression ; Fertilization ; Gestures ; Humans ; Primary Health Care ; Transgender Persons ; Transsexualism

PURPOSE: Nonverbal communication (NVC) is important in the patient-physician relationship, but the effect of NVC education is not well kown. In this study, we try to identify if students' NVC abilities are improved through communication training. METHODS: First-year medical students conducted medical interviews, which were performed with standardized patients (SPs) before and after communication skill education, and recorded in video. Fifty-one students were enrolled for this study. Two researchers used the NVC checklist, which consists of 12 nonverbal behaviors, to analyze and compare the students' nonverbal expressions in the interviews recorded before and after the education. RESULTS: After the students participated in communication training, open body position and adequate facial expression were increased while unnecessary silence, un-purposive movements, and giggling were decreased. These results can be interpreted as positive effects of the education. However, hand gesture was increased as a negative effect of the education. The total NVC score of the 12 nonverbal behaviors in the NVC checklist improved significantly, rising from 8.56 to 10.03. CONCLUSION: Communication skill education using SPs can improve nonverbal behaviors of medical students, especially facial expression, un-purposive movement, body position, unnecessary silence, and giggle, but not hand gesture. Further research is needed on a variety of teaching methods to improve NVCs.
Checklist ; Education ; Education, Medical ; Facial Expression ; Gestures ; Hand ; Humans ; Nonverbal Communication ; Students, Medical* ; Teaching

Surface electromyography (sEMG) is a weak signal which is non-stationary and non-periodic. The sEMG classification methods based on time domain and frequency domain features have low recognition rate and poor stability. Based on the modeling and analysis of sEMG energy kernel, this paper proposes a new method to recognize human gestures utilizing convolutional neural network (CNN) and phase portrait of sEMG energy kernel. Firstly, the matrix counting method is used to process the sEMG energy kernel phase portrait into a grayscale image. Secondly, the grayscale image is preprocessed by moving average method. Finally, CNN is used to recognize sEMG of gestures. Experiments on gesture sEMG signal data set show that the effectiveness of the recognition framework and the recognition method of CNN combined with the energy kernel phase portrait have obvious advantages in recognition accuracy and computational efficiency over the area extraction methods. The algorithm in this paper provides a new feasible method for sEMG signal modeling analysis and real-time identification.
Algorithms ; Electromyography ; Gestures ; Humans ; Neural Networks, Computer ; Signal Processing, Computer-Assisted

PURPOSE: The purpose of this qualitative study was to identify the nature of precocious puberty and to explore what it means in primary schools.METHODS: The participants of this phenomenological study were nine primary school girls who were diagnosed with precocious puberty and experienced hormone therapeutics, applying a convenience sampling method. Data were collected from July 2017 to January 2018 through individual in-depth interviews of the participants, including gestures, facial expressions and nonverbal means. The data analysis followed the method of Giorgi.RESULTS: The study identified 37 concepts, 12 clusters, and five themes from experiences of precocious puberty. The essential five themes were as follows: ‘ashamed and concealing experience’, ‘there is no therapeutics option’, ‘difficulties in the process of therapeutics’, ‘difficulties in daily life’, and ‘ambivalence toward therapeutics’.CONCLUSION: The findings of this study indicate physical, psychological and social difficulties faced by girls with precocious puberty. Based on this results of the study, it is necessary to develop nursing intervention programs focusing on healthy growth and development for children with precocious puberty.
Child ; Facial Expression ; Female ; Gestures ; Growth and Development ; Humans ; Methods ; Nursing ; Puberty, Precocious ; Qualitative Research ; Statistics as Topic

OBJECTIVE: To see whether anodal direct current (DC) polarization of the inferior parietal cortex (IPC) and the primary sensorimotor area (SM1) in corticobasal degeneration (CBD) patients leads to improvement of praxia and finger motion. METHOD: Twelve patients with CBD were enrolled. This single blind crossover study had three arms, anodal DC to IPC, anodal DC to SM1, and shame polarization on occipital area. DC was delivered for 40 minute at 2 mA with 25 cm2 sponge electrodes. Before and 20 min after the start of polarization, we performed the test of oral and limb apraxia (TOLA), finger tapping frequency, and grooved pegboard test. RESULTS: The total score of TOLA was increased 5.4+/-2.3% after anodal DC to IPC. The scores of limb apraxia and picture gesture subtests of TOLA, not of oral apraxia subtest, increased significantly after anodal DC to IPC compared to sham DC polarization (p<0.05). In anodal DC to SM1 group, the finger tapping frequency increased 15.5+/-14.1%, which was significantly greater than in sham group (p<0.05). CONCLUSION: These results showed beneficial effects of anodal DC polarization on apraxia and hand function in CBD patients. In addition, these effects for apraxia and hand movement were dependent on their stimulation sites of brain.
Apraxias* ; Arm ; Brain* ; Cross-Over Studies ; Electrodes ; Extremities ; Fingers ; Gestures ; Hand* ; Humans ; Porifera ; Rabeprazole ; Shame

BACKGROUND AND PURPOSE: A better developmental environment has positive effects on brain development. The acquisition of literacy during childhood may affect brain functional organization. The present study aimed to evaluate the effects of illiteracy on neuropsychological test results and cerebral morphology in later life. METHODS: We recruited 7 illiterate elderly farmers who had never attended school and had no reading or writing knowledge. These subjects were compared with 9 literate subjects in terms of neuropsychological performance and brain volume. All subjects were over 65-years-old and had the same regional and occupational background. RESULTS: Neuropsychological tests indicated that the performance of the illiterate subjects was worse than that of literate subjects in all cognitive domains except forward digit span, tool-use and tool-free gestures, verbal word recognition, and verbal generation of animals and grocery items. The illiterate group also showed significantly decreased cortical volume and surface area in both parietal lobes. However, the illiterate group showed increased cortical thickness in the left cuneus. CONCLUSIONS: Literacy acquired in childhood may increase the volume of the parietal lobe and improve neuropsychological performance through the process of brain plasticity. The effects can be lifelong.
Aged ; Animals ; Brain ; Cognition* ; Literacy* ; Gestures ; Humans ; Learning ; Magnetic Resonance Imaging ; Neuropsychological Tests ; Parietal Lobe ; Plastics ; Writing

This article reported researches on the pattern recognition of finger key-press gestures based on surface electromyographic (SEMG) signals. All the gestures were defined referring to the PC standard keyboard, and totally 16 sorts of key-press gestures relating to the right hand were defined. The SEMG signals were collected from the forearm of the subjects by 4 sensors. And two kinds of pattern recognition experiments were designed and implemented for exploring the feasibility and repeatability of the key-press gesture recognition based on SEMG signals. The results from 6 subjects showed, by using the same-day templates, that the average classification rates of 16 defined key-press gestures reached above 75.8%. Moreover, when the training samples added up to 5 days, the recognition accuracies approached those obtained with the same-day templates. The experimental results confirm the feasibility and repeatability of SEMG-based key-press gestures classification, which is meaningful for the implementation of myoelectric control-based virtual keyboard interaction.
Algorithms ; Electromyography ; methods ; Fingers ; Gestures ; Humans ; Movement ; physiology ; Muscle, Skeletal ; physiology ; Pattern Recognition, Automated ; methods ; Signal Processing, Computer-Assisted