A system and method for conducting electronic commerce are disclosed. In various embodiments, the electronic transaction is a purchase transaction. A user is provided with an intelligent token, such as a smartcard containing a digital certificate. The intelligent token suitably authenticates with a server on a network that conducts all or portions of the transaction on behalf of the user. In various embodiments a wallet server interacts with a security server to provide enhanced reliability and confidence in the transaction. In various embodiments, the wallet server includes a toolbar. In various embodiments, the digital wallet pre-fills forms. Forms may be pre-filled using an auto-remember component.

Methods and Apparatus for Conducting Electronic Transactions

Biosensor, communicator, and/or controller apparatus, systems, and methods are provided for monitoring movement of a person's eye. The apparatus includes a device configured to be worn on a user's head, a light source for directing light towards one or both eyes of the user, one or more image guides on the device for viewing one or both eyes of the user, and one or more cameras carried on the device and coupled to the image guides for acquiring images of the eyes and/or the user's surroundings. The apparatus may include a cable and/or a transmitter for transmitting image data from the camera to a remote location, e.g., to processor and/or display for analyzing and/or displaying the image data. A system including the apparatus may be used to monitor one or more oculometric parameters, e.g., pupillary response, and/or to control a computer using the user's eyes instead of a mouse.

Biosensors, communicators, and controllers monitoring eye movement and methods for using them

Systems and methods are provided for discerning the intent of a device wearer primarily based on movements of the eyes. The system can be included within unobtrusive headwear that performs eye tracking and controls screen display. The system can also utilize remote eye tracking camera(s), remote displays and/or other ancillary inputs. Screen layout is optimized to facilitate the formation and reliable detection of rapid eye signals. The detection of eye signals is based on tracking physiological movements of the eye that are under voluntary control by the device wearer. The detection of eye signals results in actions that are compatible with wearable computing and a wide range of display devices.

Systems and methods for biomechanically-based eye signals for interacting with real and virtual objects

Apparatus for monitoring movement of a person's eye, e.g., to monitor drowsiness. The system includes a frame that is worn on a person's head, an array of emitters on the frame for directing light towards the person's eye, and an array of sensors on the frame for detecting light from the array of emitters. The sensors detect light that is reflected off of respective portions of the eye or its eyelid, thereby producing output signals indicating when the respective portions of the eye is covered by the eyelid. The emitters project a reference frame towards the eye, and a camera on the frame monitors movement of the eye relative to the reference frame. This movement may be correlated with the signals from the array of sensors and/or with signals from other sensors on the frame to monitor the person's level of drowsiness.

System and method for monitoring eye movement

Apparatus, systems, and methods are provided for substantially continuous biometric identification (CBID) of an individual using eye signals in real time. The apparatus is included within a wearable computing device with identification of the device wearer based on iris recognition within one or more cameras directed at one or both eyes, and/or other physiological, anatomical and/or behavioral measures. Verification of device user identity can be used to enable or disable the display of secure information. Identity verification can also be included within information that is transmitted from the device in order to determine appropriate security measures by remote processing units. The apparatus may be incorporated within wearable computing that performs other functions including vision correction, head-mounted display, viewing the surrounding environment using scene camera(s), recording audio data via a microphone, and/or other sensing equipment.

Systems and methods for discerning eye signals and continuous biometric identification

A pupilometer having a pupil irregularity or non-uniformity detection capability. The pupilometer may comprise an imaging sensor for generating signals representative of a pupil of an eye, a data processor; and a program executable by the data processor for enabling the data processor to process signals received from the imaging sensor and to thereby identify one or more regions of non-uniformity within an image of a perimeter of the pupil. The pupilometer may incorporate several innovative calibration and thresholding routines and may provide the basis for an innovative medical diagnostics system, when coupled to a network containing a suitable medical database and data processing hardware.

Pupilometer with pupil irregularity detection capability

Pupilometer with pupil irregularity detection, pupil tracking, and pupil response detection capability, glaucoma screening capability, intracranial pressure detection capability, and ocular aberration measurement capability

A method of screening a pupil of a subject to determine whether the pupil reflex resembles a canonical pupil reflex is disclosed. The method comprises the steps of stimulating the pupil with a stimulus source. The method further includes the steps of using a pupilometer to track the pupil's constriction response over a duration of time, wherein the step of tracking the pupil constriction response begins substantially simultaneously with or immediately subsequent to time 0 and lasts for a period of time y, and using the pupilometer to collect a plurality of data points in which each data point corresponds with a diameter of the pupil at a specific time within the time duration y. The method further includes the step of generating a pupil data profile by compiling the data points and determining whether one or more conditions arc met. wherein the one or more conditions comprises the following: (a) more than two data points exist representing the same pupil diameter at three or more separate times during duration y; (b) a first phase of the pupilary reflex response exists, wherein said first phase is characterized by a period of non-constriction immediately subsequent to time 0 , said first phase having a duration of less than about 100 msec or greater than about 1000 msec; (c) if two data points exist representing the same pupil diameter at two separate times y 1 and y 2 during duration y, then the duration of time between y 1 and y 2 is less than about 100 msec; or during the first phase of the pupilary reflex, the diameter of the pupil increases before it decreases. Existence of one of said conditions indicates that the pupil reflex does not resemble a canonical reflex.

Pupilary Screening Method and System

A contact lens for use with pupil monitoring systems. A contact lens has a first surface that conforms to a cornea and sclera of a patient's eye, and a second surface that has a tubular extension defining a viewing port formed thereon. A distal region of the tubular extension forms an outwardly protruding lip which functions to securely engage the eyelid of a patient during the monitoring process and facilitates manipulation of the sclera contact lens while it is being inserted in or removed from a patient's eye. The lens may conform solely to the cornea of a patient's eye, and the viewing port may have a wide angle lens, polarizing element or other optical filtering element provided therein.

Contact lens for use with ophthalmic monitoring systems

An ophthalmic examination system comprising a headrest with a detection element, and an ophthalmic instrument (OI) having a microprocessor and a sensor in communication with the microprocessor. The sensor is configured to detect the presence of the detection element, and the headrest is configured for coupling to the OI.

Kamran Siminou

Papers

Pupilometer with pupil irregularity detection capability

Pupilometer with pupil irregularity detection, pupil tracking, and pupil response detection capability, glaucoma screening capability, intracranial pressure detection capability, and ocular aberration measurement capability

Pupilary Screening Method and System

Contact lens for use with ophthalmic monitoring systems

Intelligent patient interface for ophthalmic instruments