Biofeedback in Virtual Reality applications and Gaming Bonie Rosario, Jr. Sebastian Osorio Tom Iancovici University of Massachusetts Lowell Intro to Biosensors.

Slides:



Advertisements
Similar presentations
Clinical Applications of Spectral Analysis Winni Hofman, PhD University of Amsterdam Medcare Amsterdam.
Advertisements

What do we measure with EEG and MEG?
© MindTuner X1-10 Neurotherapie Centrum Hilversum Pole to Pole Communications BV
THE EEGEEG James Peerless April Objectives Physics and Clinical Measurement Anaesthesia for neurosurgery, neuroradiology and neurocritical care.
Non-Invasive BCI.
EEG An Introduction Aamir Saeed Malik Neuro-Signal Processing Group Universiti Teknologi Petronas Malaysia.
NeuroPhone: Brain-Mobile Phone Interface using a Wireless EEG Headset Source: MobiHeld 2010 Presented By: Corey Campbell.
Revolutionary next generation human computer interaction.
Biofeedback in Virtual Reality applications and Gaming
1 Affective Learning with an EEG Approach Xiaowei Li School of Information Science and Engineering, Lanzhou University, Lanzhou, China
EEG Machine By The All-American Boys Featuring Slo- Mo Motaz Alturayef Shawn Arni Adam Bierman Jon Ohman.
Data Acquisition for Biofeedback System Using LabVIEW Final Presentation Performed by Rapoport Alexandra Supervised by Eugene Rivkin Eli Shoshan Technion.
Discussion Section: Review, Viirre Lecture Adrienne Moore
Bonie Rosario, Jr. Sebastian Osorio Tom Iancovici University of Massachusetts Lowell Intro to Biosensors Prof. Xingwei Wang.
6.3 Physiological Computing ISE554 The WWW for eLearning.
Brainwave Gaming Paras Kaul Brainwave Specialist Brainwave Spaces brainwavespaces.com.
COMSATS Institute of Information Technology,Sahiwal.
Software PACE detect with ADS1292 Tony Calabria Texas Instruments.
Chapter 4 States of consciousness BY: DR. UCHE AMAEFUNA (MD)
Medical Applications Electrocardiogram (ECG)
Brain Computer Interfaces
Final Presentation James Lin Son Phan Michael Oduselu
Emotiv as an Affordable Means of Extracting Recurrent Brain States Graham Thompson Bryan Kerster & Rick Dale Cognitive and Information Sciences University.
Electronic Visualization Laboratory University of Illinois at Chicago Interaction between Real and Virtual Humans: Playing Checkers R. Torre, S. Balcisoy.
NeuroPhone : Brain-Mobile Phone Interface using a wireless EEG Headset Ilho nam.
OTHER MOTIVATIONS.
1 A Portable Tele-Emergent System With ECG Discrimination in SCAN Devices Speaker : Ren-Guey Lee Date : 2004 Auguest 25 B.E. LAB National Taipei University.
Thought Technology Ltd. Heart Rate Variability Suite Welcome Introductions Handouts Heart Rate Variability Suite Welcome Introductions Handouts Online.
Physiological sensors and EEG A short introduction to (neuro-)physiological measurements.
Application of non-linear Wavelet De-noising
Da’Janel Roberts Matthew Morgan Jonathan James
University of Wisconsin – Madison University of Wisconsin – Madison Engineering Projects In Community Service BIOFEEDBACK / STRESS MANAGEMENT May 9, 2001.
Face Recognition System By Arthur. Introduction  A facial recognition system is a computer application for automatically identifying or verifying a person.
Biofeedback and Stress Management BME 402 Spring 2004.
Measurement Fundamentals Rajesh Vaidya DAQ Software Engineer Wed 10:15a, 12:45p, and 3:30p Colorado (6A) Rajesh Vaidya DAQ Software Engineer.
1 Fluorescence Resonance Energy Transfer (FRET) Xingwei Wang.
Microprocessor based Design for Biomedical Applications MBE 3 – MDBA V : Bioelectric Signals Characteristics.
Functional Brain Signal Processing: EEG & fMRI Lesson 4
Quick EEG facts Physicians use the EEG to aid in the diagnosis of : epilepsy, cerebral tumors, encephalitis, and stroke EEG usage was first documented.
Gary O’ Donoghue Electronic & Computer Engineering, National University of Ireland, Galway Final Year Project A small number of consumer electronics.
 Difficult to measure consciousness.  A state of consciousness is referred to as a hypothetical construct.  I.e., a concept used to describe something.
Electromyography (EMG)
Quiz 1 Review. Analog Synthesis Overview Sound is created by controlling electrical current within synthesizer, and amplifying result. Basic components:
Definition from the Association for Applied Psychophysiology and Biofeedback “ Neurofeedback teaches the ability to modify brainwave activity. It is a.
Chairman: Shih-Chung Chen Presenter: Chung-Yi Li Advisor: Dr. Chun-Ju Hou Date:2015/10/7 JUN JO, YONGKWI LEE, and HYUN SOON SHIN Recent Advances in Electrical.
Portable Real Time ECG Design
1 Psychology 304: Brain and Behaviour Lecture 2. 2 Research Methods 1.What techniques do biological psychologists use to assess the structure and function.
Dr. Ali Saad modified from Dr. Carlos Davila Southe. metho univ 1 EEG Brain signal measurement and analysis 414BMT Dr Ali Saad, College of Applied medical.
MIND CONTROLLED ROBOT BY ADITHYA KUMAR EIGHTH GRADE.
Biofeedback and Stress Management John Harrison – Leader Albert Kwansa – Communicator Eric Lee – BSAC Brenton Nelson – BWIG Dr. Daniel Muller – Client.
Essentials of Electroencephalography Groundwork Jarrod Blinch May 17 th, 2011 Comprehensive presentation.
IMOTIONS EMOTION RECOGNITION RW Taggart, M Dressler, S Khan, P Kumar JF Coppola, C Tappert CSIS 692/481 Pace University May 5, 2016.
Correspondence between Brain Waves and Human Trust using EEG in Autonomous System Seeung Oh.
EEG Definitions EEG1: electroencephalogram—i.e., the “data”
Professor John Webster, Advisor
Extracting the atrial signal from an electrocardiogram (ECG)
Bongjae Choi, Sungho Jo Presented by: Yanrong Wo
Deep Blue Brain Drone Introduction Brain Drone Components Purpose
* the sampling rate and filter bandwidth were set to 500Hz and 1-10 Hz, respectively. * an additional 60Hz notch filter was employed to avoid the power-line.
Brain Electrophysiological Signal Processing: Postprocessing
Jakub Berčík – Jana Rybanská
ARD Presentation January, 2012 BodyPointer.
Major Project Presentation Phase - I
ECE4552: Medical Electronics By Ijlal Haider
technical presentation barbara compagnoni | fall 2014
Playback control using mind
Introduction to Biosensors
Origin and Characteristics of Bioelectric Signals
Comparison of Bispectral Index and Entropy values with electroencephalogram during surgical anaesthesia with sevoflurane†  A.J. Aho, K. Kamata, V. Jäntti,
Measuring and Improving the Quality of Haptic-Audio-Visual Experience
Presentation transcript:

Biofeedback in Virtual Reality applications and Gaming Bonie Rosario, Jr. Sebastian Osorio Tom Iancovici University of Massachusetts Lowell Intro to Biosensors Prof. Xingwei Wang

 What is Biofeedback?  Electroencephalogram  NeuroPhone as EEG Application  The Galvanic Skin Response  Half-Life 2 as GSR Application  Remaining Objectives Outline

 Biofeedback = the technique of using monitoring devices to furnish information regarding an automatic bodily function, such as heart rate or blood pressure, in an attempt to gain some voluntary control over these functions[1]. What is Biofeedback?

EEG Biosensor

Electroencephalogram  The electroencephalography is defined as a graphic representation of the potential difference between two different cerebral locations plotted over time[3]. EEG activity can be subdivided into various types of frequency rhythm bands. Research has indicated that different EEG frequency bands are associated with different mental states. The major five are alpha, theta, beta delta and gamma. EEG signals tend to have amplitude in the range of 2  V to 100  V

Emotive EPOC’s Hardware The Emotive EPOC EEG Headset samples the EEG signal at a rate of 120 Samples per Second (SPS) using an Analog-to-Digital Converter (ADC). It samples signals from 14 different electrodes and filters out artifacts, or noise, outside the bandwidth range of 0.2 – 45 Hz. It then is Emotiv EPOC headset Specification

Emotiv Software Development Kit (SDK)  The detection suite provided for Emotive EPOC headset Developers Edition are: I. Expressive Suite: For user facial recognition II. Affective Suite: Monitors player emotional states in real-time. II. Cognitive Suite: Reads and interprets a player’s conscious thoughts and intent. Cognitive Suite

EEG Application  NeuroPhone

EEG Application

GSR Biosensor

 The galvanic skin response (GSR) is a simple method of capturing the autonomic nerve response as a parameter of the sweat gland function.  Any stimulus capable of an arousal effect can evoke the response and the amplitude of the response is more dependent on the surprise effect of the stimulus than on the physical stimulus strength [2]. The Galvanic Skin Response

Stress Sweat glands are activated HRV Increased Heart Rate Low resistance pathway Apply small voltage to human skin to induce a current How GSR and HRV are Measured HRV= Heart Rate Variable GSR=Voltage/Current Also known as Instantaneous Skin Resistance

 The heart rate and the galvanic skin response are very accurate manifestations of human reaction such as boredom, stress, and excitement. They are also very easy to measure using non-intrusive techniques. Different Commercially Available Products ccurres/13%20Electric%20Current%20&%20 Resistance/13.06%20galvanic%20skin%20re sponse.jpg hives/img/gsr2.jpg meditation.com/images/IOM- Technology.jpg

 Biometric Application Vs. Gaming Application Issues Using GSR as Bio-feedback in a Gaming Application People react differently Need real time measurements

GSR/HRV Application: Half-Life 2

 Increased speed = Increased HRV  Increased volume = Increased GSR  Screen shake = 3.8 Times average HRV  X-ray vision = 0.5 – 0.7 average GSR  Invisibility/Stealth = Less than 0.5 average GSR  Red shader = 2 Times average HRV  Black and white shader = Less than 0.8 average HRV Half-Life 2 Variables

 Combining the biosensors  Experiment by the University of Saskatchewan Saskatoon in Canada  Deshpande Foundation and the Emotiv Neuro- Headset  DEMO? Remaining Objectives

 [1]"Biofeedback - Definition of Biofeedback by the Free Online Dictionary, Thesaurus and Encyclopedia." Dictionary, Encyclopedia and Thesaurus - The Free Dictionary. Web. 26 Feb  [2]Tarvainen, M.P.; Karjalainen, P.A.; Koistinen, A.S.; Valkonen-Korhonen, M.V.;, "Principal component analysis of galvanic skin responses," Engineering in Medicine and Biology Society, Proceedings of the 22nd Annual International Conference of the IEEE, vol.4, no., pp vol.4, 2000 doi: /IEMBS URL: r= r=19495  [3] P Olejniczak. Neurophysiologic basis of eeg. Journal of clinical neurophysiology, 23 (3):186,