Computer-Generated Emotional Face Retrieval with P300 Signals of Multiple Subjects

Applying brain signals to human-computer interaction enables us to detect the attention. Based on P300 signals – one type of event-related potential – enables brain-machine interface users to select desired letters by means of attention alone. Previous studies have reported the feasibility of P300 signals in enabling a single subject to realize novel information retrieval. In the recent collaborative EEG study of multiple subjects has enabled classification to detect attention in a markedly improved way. Here we propose emotional face retrieval using P300 signals of 20 subjects. As a result, the F-measure under the condition of a single subject was a standard deviation of 0.636 ± 0.05 and an F-measure of 0.886 with multiple subjects. In short, emotional face retrieval classification is improved with collaborative P300 signals from multiple subjects. This technique could be applied to life logs, computer-supported cooperative work, and neuromarketing.

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Brain-Machine Interface Using Brain Surface Electrodes

Assistive Technologies ◽

10.4018/978-1-4666-4422-9.ch080 ◽

2013 ◽

pp. 1535-1548

Author(s):

Masayuki Hirata ◽

Takufumi Yanagisawa ◽

Kojiro Matsushita ◽

Hisato Sugata ◽

Yukiyasu Kamitani ◽

...

Keyword(s):

Integrative Approach ◽

Noninvasive Evaluation ◽

Brain Machine Interface ◽

Input Devices ◽

Surface Electrodes ◽

Brain Surface ◽

Brain Signals ◽

Machine Interface ◽

Robotic Arm Control ◽

Direct Use

The brain-machine interface (BMI) enables us to control machines and to communicate with others, not with the use of input devices, but through the direct use of brain signals. This chapter describes the integrative approach the authors used to develop a BMI system with brain surface electrodes for real-time robotic arm control in severely disabled people, such as amyotrophic lateral sclerosis patients. This integrative BMI approach includes effective brain signal recording, accurate neural decoding, robust robotic control, a wireless and fully implantable device, and a noninvasive evaluation of surgical indications.

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Security Solutions Using Brain Signals

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v7.i2.pp105-110 ◽

2018 ◽

Vol 7 (2) ◽

pp. 105

Author(s):

Anupama. H.S ◽

Anusha M ◽

Aparna Joshi ◽

Apoorva N ◽

N.K. Cauvery ◽

...

Keyword(s):

Current Model ◽

Neural Interface ◽

Brain Machine Interface ◽

Eeg Signals ◽

Brain Signals ◽

Thought Pattern ◽

Machine Interface ◽

Image Signature ◽

The Brain ◽

Communication Path

A Brain Computer Interface is a direct neural interface or a brain–machine interface. It provides a communication path between human brain and the computer system. It aims to convey people's intentions to the outside world directly from their thoughts. This paper focuses on current model which uses brain signals for the authentication of users. The Electro- Encephalogram (EEG) signals are recorded from the neuroheadset when a user is shown a key image (signature image). These signals are further processed and are interpreted to obtain the thought pattern of the user to match them to the stored password in the system. Even if other person is presented with the same key image it fails to authenticate as the cortical folds of the brain are unique to each human being just like a fingerprint or DNA.

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Brain Machine Interface

International Journal of Applied Research in Bioinformatics ◽

10.4018/ijarb.2020010102 ◽

2020 ◽

Vol 10 (1) ◽

pp. 26-36

Author(s):

Rinat Galiautdinov

Keyword(s):

Motor Neuron ◽

Neural Circuit ◽

Brain Machine Interface ◽

Brain Signals ◽

Neural Connection ◽

Machine Interface ◽

Electric Signals ◽

The Brain

The main purpose of the article is to provide the solution which allows the muscles to work in a situation when neural connection is corrupted either due to illness or injury, which usually causes paralysis. The research is on the interpretation of the brain signals based on the analysis of neurotransmitters and the transformation of this analysis into the electric signals effecting on the muscle in the situation when neural circuit between a sensor/inter neuron and a motor neuron is broken. This method would allow paralyzed people to move their limbs and potentially to walk.

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Brain–Machine Interface Using Brain Surface Electrodes

Technological Advancements in Biomedicine for Healthcare Applications - Advances in Bioinformatics and Biomedical Engineering ◽

10.4018/978-1-4666-2196-1.ch036 ◽

2012 ◽

pp. 362-374

Author(s):

Masayuki Hirata ◽

Takufumi Yanagisawa ◽

Kojiro Matsushita ◽

Hisato Sugata ◽

Yukiyasu Kamitani ◽

...

Keyword(s):

Integrative Approach ◽

Noninvasive Evaluation ◽

Brain Machine Interface ◽

Input Devices ◽

Surface Electrodes ◽

Brain Surface ◽

Brain Signals ◽

Machine Interface ◽

Robotic Arm Control ◽

Direct Use

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IMPLEMENTASI MODEL TASK-CENTERED PADA RESPONDEN YANG MEMILIKI GANGGUAN KEJIWAAN SKIZOAFEKTIF, POST-PARTUM PSYCHOSIS DAN BABYBLUES SYNDROME DI KOTA BANDUNG

Pekerjaan Sosial ◽

10.31595/peksos.v15i2.86 ◽

2017 ◽

Vol 15 (2) ◽

Author(s):

Umi Salamah

Keyword(s):

Standard Deviation ◽

Action Research ◽

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Positive Emotion ◽

Visual Analysis ◽

Single Subject ◽

Cognitive Behavior ◽

Single Subject Design ◽

Subject Design

Abstract Task-Centered Models include Cognitive-Behavior Therapy (CBT) and Task-Centered Therapy begins with light Cognitive Therapy focuses on thoughts, next Behavioral Therapy focus on act and reward application. Behavioural therapy also as a preface into task-centered therapy as conditioning. Comorbid symptoms of anxiety, aggression, and depression are target of changes. Using methods of action research, with Single Subject Design with pattern model of A-B at one baseline period (control) and two intervention period (treatments phase). The purpose of this study is to proof main hypothesis H1 = Task-Centered Models can reduce symptoms of anxiety, aggression and depression of respondent Y or H0 = Task-Centered Models can not reduce symptoms of anxiety, aggression and depression of respondent Y. Related with research setting, qualitative analysis of the research subjects should also be included. Hypothesis is tested by using the formula of 2 standard deviation (2 SD), visual analysis within and between conditions. Test result shows that the entire hypothesis is accepted with and fulfill criterias of visual analysis significant. Its concluded that intervention effectiveness define by motivation, participation and discipline,parent commitment is vital for therapy that demands action and consistency, maintaining cognitive of respondent are essential for reducing stressors of recurrence through recreational activity and positive emotion building.Key words: Psychiatric Social Worker, Psychiatric Disorder, Cognitive-Behavior Therapy, Task- Centered TherapyAbstrak Model Task-Centered meliputi Cognitive-Behaviour Therapy (CBT) dan Terapi Berpusat Tugas (Task-Centered), dimulai oleh Terapi Kognitif ringan yang fokus pada pikiran, kemudian Terapi Behavioral fokus pada kegiatan (tindakan) tujuan dan penentuan bentuk imbalan (rewards). Terapi Behavioural menjadi pengantar terapi berpusat-tugas yang bersifat conditioning. Gejala penyerta anxiety (kegelisahan), aggression (agresifitas), dan depression (depresi) merupakan target perubahan. Pilihan metode penelitian yaitu penelitian tindakan (action research) dengan Desain Subjek Tunggal (Single Subject Design) dengan pola A-B dalam satu periode baseline (kontrol) dan dua periode intervensi (treatment phase). Tujuan penelitian ini adalah untuk membuktikan hipotesis utama; H1= task-centered model dapat menurunkan gejala anxiety, aggression dan depression responden Y atau H0= task-centered model tidak dapat menurunkan gejala anxiety, aggression dan depression responden Y. Berkaitan dengan setting penelitian, penjelasan kualitatif cukup penting untuk dilakukan. Secara kuantitatif, pengujian hipotesis dilakukan dengan menggunakan rumus 2 standard deviation (2 SD) dan analisis visual dalam kondisi. Berdasarkan hasil pengujian, diperoleh hasil bahwa hipotesis diterima ( ) dan memenuhi kriteria signifikansi dalam analisis visual. Kesimpulan penelitian adalah efektifitas intervensi ditentukan motivasi, peran serta dan tingkat kedisiplinan, komitmen orangtua penting dalam terapi yang menuntut aksi dan konsistensi responden, penekanan kognitif responden menurunkan stressor kekambuhan melalui kegiatan rekreatif dan positive emotion building.Kata kunci: Pekerja Sosial Medis Setting Kesehatan Mental, Gangguan Kejiwaan, Terapi Kognitif-Behavior, Terapi Berpusat Tugas

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