Gesturelogic Inc.

Myant Inc.

Mark Klibanov

Seyed Ali Etemad

Leonard Maceachern

Roshanak Houmanfar

Adrian Straka

Milad Alizadeh-Meghrazi

Michelle Zheng

Monica Katie Nealis

Jiwon Yang

Parth Jain

Gabriel Stefan

Kaveh Firouzi

Nick Stupich

Niranjan Iyer

A resilient fabric band providing a sensor platform for a wearer in order to sense a plurality of biometric data, the band comprising: a pair of ECG sensors coupled to an interior surface of a body of the band, each of the pair of ECG sensors located on either side of a front to back centerline of the body; a pair of bio impedance sensors coupled to the interior surface of the body of the band, each of the pair of bio impedance sensors located on either side of the front to back centerline; a strain gauge sensor coupled to the body of the band; a computer device mounted on the body of the band via a housing, the computer device including a power source, a computer processor, a memory for storing instructions for execution by the computer processor, and a network interface for transmitting data sensed by the sensors; and a plurality of communication pathways connecting the computer device to each of the sensors, the communication pathway for sending power from the power supply to the sensors as controlled by the computer processor and for receiving sensed data from the sensors by the computer processor.

Sensor band for multimodal sensing of biometric data

Systems, methods and devices for recognizing user activity using data from accelerometer or other sensors. 'Feature-based' approach and 'model-based' approaches are described. In a feature-based approach, various values are extracted from input signals and projected onto a space that is selected to facilitate better segregation of data points. Classifiers identify the regions in this projected space in which the data points fall to distinguish between the different activity types. In a &#x201c;model-based&#x201d; approach, a generative model is trained for each activity type. Different activity types can be distinguished by identifying similarities between the input data with the generative models.

Systems, methods and devices for activity recognition

Systems, methods and devices that facilitate determination of enhanced exercise or physical activity metrics by considering multiple types of data. Metrics are computable by pre-processing, and in some cases segmenting, a variety of input signals, such as acceleration signals, electromyography signals or other signals from a wearable device.

Systems, methods and devices for exercise and activity metric computation

A system, method and device are described for biometric analysis using a wearable device. The device can be removeably securable to a user's skin surface and can include a plurality of electrodes positioned to acquire electrical signals from the skin surface. The device can also include an electromyography acquisition module and skin impedance acquisition module. A processing unit can use the electrodes to capture a plurality of electrical signals including at least one electromyography signal. The processing unit can generate calibration data based on a subset of the captured electrical signals and process the electromyography signals using the calibration data to determine a biometric for the user.

Systems, methods and devices for acquiring and processing physiological signals

A system, method and device are described for detecting a heart rate. A sensing unit can have a skin-facing surface that is removably securable to a user's skin surface and include at least one sensor positioned to acquire a bio-signal from the skin surface. A controller can be configured to capture a bio-signal stream using the at least one sensor and generate a preprocessed bio-signal stream by band-pass filtering the captured bio-signal stream with a predetermined passband. The controller can also be configured to determine, in a moving window, heartbeat signal portions when the preprocessed bio-signal stream has heartbeat impulse characteristics and determine the time between adjacent heartbeat signal portions to compute the heart rate.

System, method and device for detecting heart rate

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Ottawa, Canada

Mark Klibanov