Eye movements can be used as alternative inputs for human-computer interface (HCI) systems such virtual or augmented reality well new communication ways patients with locked-in syndrome. In this study, we developed a real-time electrooculogram (EOG)-based eye-writing recognition system, which users write predefined symbolic patterns their volitional eye movements. For the “eye-writing” recognition, proposed system first reconstructs eye-written traces from EOG waveforms in real-time; then,...

In traditional brain–computer interface (BCI) studies, binary communication systems have generally been implemented using two mental tasks arbitrarily assigned to "yes" or "no" intentions (e.g., arithmetic calculation for "yes"). A recent pilot study performed with one paralyzed patient showed the possibility of a more intuitive paradigm BCI communications, in which patient's internal yes/no were directly decoded from functional near-infrared spectroscopy (fNIRS). We investigated whether...

Human eye blinking is cognitively suppressed to minimize loss of visual information for important real-world events. Despite the relationship between and cognitive state, effect blinks on cognition in environments has received limited research attention. In this study, we focused temporal pattern inter-eye blink interval (IEBI) during movie watching investigated its with episodic memory. As a control condition, 24 healthy subjects watched nature documentary that lacked specific story line...

Electroencephalogram (EEG) is easily contaminated by unwanted physiological artifacts, among which electrooculogram (EOG) artifacts due to eye blinking are known be most dominant. The blink reported affect theta and alpha rhythms of frontal EEG signals, hard accurately detected in an unsupervised way large individual variability. In this study, we propose a new method for detecting automatically real time without using any labeled training data. proposed combined our previous based on...

Electrooculogram (EOG) can be used to continuously track eye movements and thus considered as an alternative conventional camera-based trackers. Although many EOG-based tracking systems have been studied with the ultimate goal of providing a new way communication for individuals amyotrophic lateral sclerosis (ALS), most them were tested healthy people only. In this paper, we investigated feasibility eye-writing mode ALS.We developed system 18 participants three ALS. We also applied method...

The increase in the number of adolescents with internet gaming disorder (IGD), a type behavioral addiction is becoming an issue public concern. Teaching to suppress their craving for daily life situations one core strategies treating IGD. Recent studies have demonstrated that computer-aided treatment methods, such as neurofeedback therapy, are effective relieving symptoms variety addictions. When strategy applied IGD, detecting whether individual currently experiencing important. We aroused...

Oral health plays an important role in people’s quality of life as it is related to eating, talking, and smiling. In recent years, many studies have utilized artificial intelligence for oral care. Many been published on tooth identification or recognition dental diseases using X-ray images, but with RGB images are rarely found. this paper, we propose a deep convolutional neural network (CNN) model that classifies teeth periodontal from optical color captured front the mouth. A novel module...

Image denoising is essential for removing noise in images caused by electric device malfunctions or other factors during image acquisition. It helps preserve quality and interpretation. Many convolutional autoencoder algorithms have proven effective denoising. Owing to their promising efficiency, quantum computers gained popularity. This study introduces a (QCAE) method improved was developed substituting the representative latent space of with circuit. To enhance we leveraged advantages...

Template matching is an approach for signal pattern recognition, often used biomedical signals including electroencephalogram (EEG). Since EEG severely contaminated by various physiological or pathological artifacts, identification and rejection of these artifacts with improved template algorithms would enhance the overall quality signals. In this paper, we propose a novel to improve accuracy conventional methods adopting dynamic positional warping (DPW) technique, developed recently...

This paper introduces a method to remove the unwanted interdependency between vertical and horizontal eye-movement components in electrooculograms (EOGs). EOGs have been widely used estimate eye movements without camera variety of human-computer interaction (HCI) applications using pairs electrodes generally attached either above below (vertical EOG) or left right eyes (horizontal EOG). It has well documented that EOG component less stability than one, making accurate estimation location...

Automatic age estimation using panoramic dental radiographic images is an important procedure for forensics and personal oral healthcare. The accuracies of the have increased recently with advances in deep neural networks (DNN), but DNN requires large sizes labeled dataset which not always available. This study examined whether a network able to estimate tooth ages when precise information given. A model was developed applied image augmentation technique. total 10,023 original were...

Automatic signature verification has been widely studied for authentication purposes in real life, but limited data availability still poses a significant challenge. To address this issue, we propose method with denoising diffusion probabilistic model (DDPM) to generate artificial signatures that closely resemble authentic ones. In the proposed method, modified noise prediction process of DDPM allow generation specific certain classes. We also employed an auxiliary classification ensure...

In this paper, we refer a phenomenon of relatively high error rates against random forgeries in online signature verification. Though human can easily distinguish from genuine signatures, the most published research results during last decades have reported them, compared to skilled forgeries. This paper suggests taking DPW (dynamic positional warping) approach for problem, which supplies accuracy and robustness affine transform shapes. addition, effects distance normalization slope...

This paper addresses the problem of dynamic time warping (DTW) causing unintended matching correspondences when it is employed for online two-dimensional (2D) handwriting signals, and proposes concept positional (DPW) in conjunction with DTW problems. The proposed DPW allows subsignal translations without any additional costs their starting points are matched to other through process. Because movement subsignals cost-free, except distance between two points, an adequate — finding similar...

A novel concept of a Compton camera for SPECT is proposed. The consists two concentric cylindrical detectors that operate in coincidence. triggered by scatter events the inner (scatter) detector. scattered photons are then detected outer (absorption) If both have excellent energy and three-dimensional (3D) spatial resolutions, such could make 3D imaging possible with appropriate reconstruction algorithms. In this paper, authors estimate potential performance made up argon-gas or...

In the stroke-based signature verification system, it is important to find correct points of a testing be spilt according its template signature. this paper, we propose modified dynamic time warping algorithm (DTW) for problem. Proposed method has two differences conventional approaches. First, stroke information both and considered precious prevent wrong splitting. Second, number difference in genuine not limited because proposed does require much additional computational time. Through...

Neurocinematics is an emerging research discipline that studies audiences' cognitive and affective responses to cinematic stimuli. To date, functional magnetic resonance imaging (fMRI) has been the most widely used tool for neurocinematics studies; however, recent have shown electroencephalography (EEG) can also be a promising thanks its excellent temporal resolution. In this article, after discussing challenges prospects EEG-based neurocinematics, we introduced two potential film-rating...

Background:The digits-in-noise (DiN) test is a speech-in-noise to measure speech recognition threshold in noise adaptively.Herein, we aimed develop the Korean version of DiN provide useful hearing screening tool for clinical as well research purposes.Method: Spoken monosyllabic digits from 0 9 were recorded by female speaker.The list was constructed such that each digit placed three different positions.An optimization procedure conducted equate audibility digit.After optimization, smartphone...

Ictal epileptiform discharges (EDs) are characteristic signal patterns of scalp electroencephalogram (EEG) or intracranial EEG (iEEG) recorded from patients with epilepsy, which assist the diagnosis and characterization various types epilepsy. The signal, however, is often epilepsy for a long period time, thus detection identification EDs have been burden on medical doctors. This paper proposes new method automatic two EDs, repeated sharp-waves (sharps), runs sharp-and-slow-waves (SSWs),...

생체신호를 사용하는 감정인식은 환자, 위험활동 종사자의 모니터링 등에 유용히 활용될 수 있는 기술로, 최근 인공지능기술의 발달에 따라 활발히 연구되고 있다. 본 논문은 감정인식을 목적으로, 공개 생체신호 데이터 셋인 DEAP 데이터셋을 사용하여 맥파 신호를 주파수 대역별로 분석하고, 그 결과를 제시하였다. 기존의 연구가 arousal과 valence에 대하여 0.4Hz 이하의 저주파 신호 특징을 분석한 데 비해, 연구에서는 dominance와 liking을 분석 대상에 포함시켰으며, 맥파를 감정인식에 있어 0.4 Hz 이상의 고주파 대역이 가지는 중요 성을 유의성 검증을 통해 분석하였다. 결과, 기존에 사용되지 않았던 대역에도 valence, dominance, liking등의 유의미한 특징이 존재함을 발견하였으며, arousal 인식에 있어서는 0.4-1Hz 대 역을 제외하고는 없음을 발견하였다.

A rapidly increasing human lifespan has led to population aging with growing demands for healthcare, including dental healthcare services. The oral cavity plays a crucial role in mastication and speech. Furthermore, artificial intelligence (AI) extensively developed, automated diagnostic technology continues evolve. Therefore, it is necessary integrate objective AI, automatic diagnosis, care reduce errors resulting from subjective diagnosis. This study used 15,000 panoramic X-ray images...