Robert Boschgmbh

Aca Gacic

Soundararajan Srinivasan

Raghu Kiran Ganti

Thomas Hogenmueller

Dhananjay Lal

Burton Warren Andrews

Juergen Heit

Rahul Kapoor

Amirali Kayamali Charania

Hari Thiruvengada

A physical activity monitoring method and system in one embodiment includes a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate audio context data associated with a sensed audio context of the wearer, a memory including program instructions stored therein, a computer configured to receive the physiologic data and the audio context data and to execute the program instructions to distinguish between dynamic and static activities of the wearer based upon the physiologic data, and to generate activity data by differentiating between different classes of distinguished dynamic and static activities based upon the audio context data, and a user interface operably connected to the computer for rendering the activity data.

Activity monitoring device and method

A physical activity monitoring method and system in one embodiment includes a communications network, a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate context data associated with a sensed context of the wearer, and to transmit the physiologic data and the context data over the communications network, a memory for storing the physiologic data and the context data, a computer and a computer program executed by the computer, wherein the computer program comprises computer instructions for rendering first data associated with the physiologic data and second data associated with the context data, and a user interface operably connected to the computer for rendering the first data and the second data.

An exercise monitoring method and system in one embodiment includes a communications network, a wearable transducer configured to generate physiologic data associated with movement of a wearer, and to form a communication link with the communications network, a system memory in which command instructions are stored, a user interface operably connected to the computer, and a system processor configured to execute the command instructions to receive the generated physiologic data, analyze the received physiologic data with a multilayer perceptron/support vector machine/hidden Markov (MSH) model, model the analyzed physiologic data, and generate feedback based on a comparison of the model and a stored exercise object.

Wearable system for monitoring strength training

A wireless network arrangement for a vehicle includes an electronic controller disposed within the vehicle. A plurality of wireless electronic components are disposed within the vehicle and are wirelessly communicatively coupled to the electronic controller. The components are networked together wirelessly such that members of any subgroup of the components can wirelessly communicate with each other.

Method and apparatus for customizing a wireless network architecture

A physical activity monitoring method and system in one embodiment includes a communications network, a wearable sensor device configured to generate physiologic data associated with a sensed physiologic condition of a wearer, and to generate audio context data associated with a sensed audio context of the wearer, and to form a communication link with the communications network, a memory for storing the physiologic data and the audio context data, a computer and a computer program executed by the computer, wherein the computer program comprises computer instructions for rendering activity data associated with the physiologic data and the audio context data, and a user interface operably connected to the computer for rendering the activity data.

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Pittsburgh, PA, United States of America

Aca Gacic