I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

The ECG signal has been shown to contain relevant information for human identification. Even though results validate the potential of these signals, data acquisition methods and apparatus explored so far compromise user acceptability, requiring the acquisition of ECG at the chest. In this paper, we propose a finger-based ECG biometric system, that uses signals collected at the fingers, through a minimally intrusive 1-lead ECG setup recurring to Ag/AgCl electrodes without gel as interface with the skin. The collected signal is significantly more noisy than the ECG acquired at the chest, motivating the application of feature extraction and signal processing techniques to the problem. Time domain ECG signal processing is performed, which comprises the usual steps of filtering, peak detection, heartbeat waveform segmentation, and amplitude normalization, plus an additional step of time normalization. Through a simple minimum distance criterion between the test patterns and the enrollment database, results have revealed this to be a promising technique for biometric applications.

https://downloads.hindawi.com/journals/cin/2011/720971.pdf

Unveiling the biometric potential of finger-based ECG signals

Hand movement data acquisition is used in many engineering applications ranging from the analysis of gestures to the biomedical sciences. Glove-based systems represent one of the most important efforts aimed at acquiring hand movement data. While they have been around for over three decades, they keep attracting the interest of researchers from increasingly diverse fields. This paper surveys such glove systems and their applications. It also analyzes the characteristics of the devices, provides a road map of the evolution of the technology, and discusses limitations of current technology and trends at the frontiers of research. A foremost goal of this paper is to provide readers who are new to the area with a basis for understanding glove systems technology and how it can be applied, while offering specialists an updated picture of the breadth of applications in several engineering and biomedical sciences areas.

A Survey of Glove-Based Systems and Their Applications

http://drop-kicker.com/wp-content/uploads/2013/11/israel_et_al.pdf

ECG to identify individuals

PART 1: INTRODUCTION TO OLFACTION: PERCEPTION, ANATOMY, PHYSIOLOGY AND MOLECULAR BIOLOGY.Introduction to Olfaction.Odor Classification Schemes Based on Adjective Descriptors.Odor Classification Based on Chemical Properties.Physiology and Anatomy of Olfaction.Molecular Biology of Olfaction.Taste.Final Comment.PART 2: CHEMICAL SENSING IN HUMANS AND MACHINES.Human Chemosensory Perception of Airborne Chemicals.Nasal Chemosensory Detection.Olfactory and Nasal Chemesthetic Detection of Mixtures of Chemicals.Physicochemical Determinants of Odor and Nasal Pungency.Human Chemical Sensing: Olfactometry.Instruments for Chemical Sensing: Gas Chromatography-Olfactometry.PART 3: ODOR HANDLING AND DELIVERY SYSTEMS.Introduction.Physics of Evaporation.Sample Flow System.Static System.Preconcentrator.Measurement of Sensor Directly Exposed to Ambient Vapor.Summary.PART 4: INTRODUCTION TO CHEMOSENSORS.Introduction.Survey and Classification of Chemosensors.Chemoresistors.Chemocapcitors.Potentiometric Odor Sensors.Gravimetric Odor Sensors.Optical Odor Sensors.Thermal (Calorimetric) Sensors.Amperometric Sensors.Summary of Chemical Sensors.PART 5: SIGNAL CONDITIONING AND PREPROCESSING.Introduction.Interface Circuits.Signal Conditioning.Signal Preprocessing.Noise in Sensors and Circuits.Outlook.Conclusions.Acknowledgements.PART 6: PATTERN ANALYSIS FOR ELECTRONIC NOSES.Introduction.Statistical Pattern Analysis Techniques.'Intelligent' Pattern Analysis Techniques.Outlook and Conclusions.PART 7: COMMERCIAL ELECTRONIC NOSE INSTRUMENTS.Introduction.Commercial Availability.Some Market Considerations.PART 8: OPTICAL ELECTRONIC NOSES.Introduction.Optical Vapor Sensing.The Tufts Artificial Nose.Conclusion.PART 9: HAND-HELD AND PALM-TOP MICROSENSOR SYSTEMS FOR GAS ANALYSIS.Introduction.Conventional Hand-Held Systems.Silicon-Based Microsensors.Summary and Outlook.PART 10: INTEGRATED ELECTRONIC NOSES AND MICROSYSTEMS FOR CHEMCIAL ANALYSIS.Introduction.Microcomponents for Fluid Handling.Integrated E-Nose Systems.Microsystems for Chemical Analysis.Future Outlook.PART 11: ELECTRONIC TONGUES AND COMBINATIONS OF ARTIFICIAL SENSES.Introduction.Electronic Tongues.The Combination or Fusion of Artificial Senses.Conclusions.PART 12: DYNAMIC PATTERN RECOGNITION METHODS AND SYSTEM IDENTIFICATION.Introduction.Dynamic Models and System Identification.Identifying a Model.Dynamic Models and Intelligent Sensor Systems.Outlook.PART 13: DRIFT COMPENSATION, STANDARDS, AND CALIBRATION METHODS.Physical Reasons for Drift and Sensor Poisoning.Examples of Sensor Drift.Comparison of Drift and Noise.Model Building Strategies.Calibration Transfer.Drift Compensation.Conclusions.PART 14: CHEMICAL SENSOR ARRAY OPTIMIZATION: GEOMETRIC AND INFORMATION THEORETIC APPROACHES.The Need for Array Performance Definition and Optimization.Historical Perspective.Geometric Interpretation.Noise Considerations.Non-linear Transformations.Array Performance as a Statistical Estimation Problem.Fisher Information Matrix and the Best Unbiased Estimator.Performance Optimization.Conclusions.PART 15: CORRELATING ELECTRONIC NOSE AND SENSORY PANEL DATA.Sensory Panel Methods.Applications of Electronic Noses for Correlating Sensory Data.Algorithms for Correlating Sensor Array Data with Sensory Panels.Correlations of Electronic Nose Data with Sensory Panel Data.Conclusions.PART 16: MACHINE OLFACTION FOR MOBILE ROBOTS.Introduction.Olfactory-Guided Behavior of Animals.Sensors and Signal Processing in Mobile Robots.Trail Following Robots.Plume Tracking Robots.Other Technologies in Developing Plume Tracking Systems.Concluding Remarks.PART 17: ENVIRONMENTAL MONITORING.Introduction.Special Considerations for Environmental Monitoring.Case Study 1: Livestock Odor Classification.Case Study 2: Swine Odor Detection Thresholds.Case Study 3: Biofilter Evaluation.Case Study 4: Mold Detection.Future Directions.PART 18: MEDICAL DIAGNOSTICS AND HEALTH MONITORING.Introduction.Special Considerations in Medical/Healthcare Applications.Monitoring Metabolic Defects in Humans Using a Conducting Polymer Sensor Array to Measure Odor.The Use of Electronic Nose for the Detection of Bacterial Vaginosis.Conclusion.PART 19: RECOGNITION OF NATURAL PRODUCTS.Introduction.Recent Literature Review.Sampling Techniques.Case-Study: The Rapid Detection of Natural Products as a Means of Identifying Plant Species.Case Study: Differentiation of Essential Oil-Bearing Plants.Conclusion and Future Outlook.PART 20: PROCESS MONITORING.Introduction.Previous Work.Special Considerations.Selected Process Monitoring Examples.Future ProspectsPART 21: FOOD AND BEVERAGE QUALITY ASSURANCE.Introduction.Literature Survey.Methodological Issues in Food Measurement with Electronic Nose.Selected Case.Conclusions.Future Outlook.PART 22: AUTOMOTIVE AND AEROSPACE APPLICATIONS.Introduction.Automotive Applications.Aerospace Applications.Polymer Composite Films.Electronic Nose Operation in Spacecraft.Method Development.Future Directions.Conclusion.PART 23: DETECTION OF EXPLOSIVES.Introduction.Previous Work.State-of-the-Art of Various Explosive Vapor Sensors.Case Study.Conclusions.Future Directions.PART 24: COSMETICS AND FRAGRANCES.Introduction.The Case for an Electronic Nose in Perfumery.Current Challenges and Limitations of Electronic Noses.Literature Review of Electronic Noses in Perfumery and Cosmetics.Special Considerations for using Electronic Noses to Classify and Judge Quality of Perfumes, PRMs, and Products.Case Study 1: Use in Classification of PRMs with Different Odor Character but of Similar Composition.Case Study 2: Use in Judging the Odor Quality of a Sunscreen Product.Conclusions.Future Directions.Index.

Handbook of Machine Olfaction: Electronic Nose Technology

A new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence, only three electrodes have to be attached on the person to be identified. This makes the method applicable without too much effort.

ECG analysis: a new approach in human identification

In this article a new approach in human identification is investigated. For this purpose a standard 12-lead electrocardiogram (EGG), recorded during rest, is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence only three electrodes has to be attached on the person to be identified. This makes the method applicable without too much effort.

/pdf/ecg-analysis-a-new-approach-in-human-identification-anflk56gq1.pdf

The use of remotely operated robotic systems in security related applications is becoming increasingly popular. However, the direct teleoperation interfaces commonly used today put a large amount of cognitive burden on the operators, thus seriously reducing the efficiency and reliability of these systems. We present an approach to alleviate this problem by exploiting both software and hardware autonomy. At the software level, we propose a variable autonomy control architecture that dynamically adapts the degree of autonomy of the robot in terms of control, perception, and interaction. At the hardware level, we rely on the intrinsic autonomy and robustness provided by the spherical morphology of our Ground-Bot robot. We also present a prototype system for facilitating the interaction between human operators and robots using our control architecture. This work is specifically aimed at increasing the effectiveness of the GroundBot robot for remote inspection tasks.

An Autonomous Spherical Robot for Security Tasks

A fuzzy technique for food- and water quality assessment with an electronic tongue

We propose a method where a glove generates commands based on position measurements. The glove is equipped with sensor electrodes between which capacitances are formed. There are also airtight polyvinyl chloride tubes placed along the fingers that are connected with pressure sensors on the wrist. When the angles of the fingers change the output of the sensors will change. The combined sensor outputs form a pattern that corresponds to different finger flexions. Commands can be generated by different finger flexions. The glove is simple and it can generate sufficient signals for a fuzzy control system. This paper describes a technique to create fuzzy commands by the use of fuzzy measures of the real world, to be used in a fuzzy controller. The hand generates commands both in Boolean measures, on/off etc., as well as in fuzzy measures, i.e., closer, even closer, etc.

Peter Wide

Papers

ECG analysis: a new approach in human identification

ECG analysis: a new approach in human identification

An Autonomous Spherical Robot for Security Tasks

A fuzzy technique for food- and water quality assessment with an electronic tongue

A glove equipped with finger flexion sensors as a command generator used in a fuzzy control system