University of California

Inria Institut National De Recherche En Informatique Et En Automatique

Ruzena Bajcsy

Christian Laugier

Masayoshi Tomizuka

Roozbeh Jafari

S Shankar Sastry

Allen Yang Yang

Waiman Meinhold

Stephanie Lefevre

Robert Peter Matthew

Joel Alfredo Loeza

Eric John Mica

Stéphanie Lefèvre

Semi-passive control system () comprises a pneumatic spring actuator (), a pressure regulator () in communication with the pneumatic spring actuator (), a hydraulic locking actuator (), a hydraulic valve () in communication with actuator (), a power source (), a pulley wheel (), and a cable () having a first end in contact with pulley wheel (), first and second side portions () extending from opposing sides of pulley wheel (), and a second end adapted to connect to an orthosis device (). At least one cable clamp () attaches to second side portion () of cable () and interconnects cable () to shafts () of actuators (). A central control unit () includes a processor () and a computer readable storage medium () having program instructions stored thereon for execution by the central control unit to adjust stiffness, damping or stiffness and damping parameters.

Semi-passive control system and method for assistive orthoses

The invention concerns a method of driving assistance for assisting a human driver in safely driving a vehicle called host vehicle, implemented by a processor on board of said host vehicle. The host vehicle comprises means for obtaining first information relative to the host vehicle and means for obtaining second information relative to at least one other vehicle in a neighborhood of the host vehicle, said first and second information being obtained at regular time instants, comprising triggering an intervention of a collision avoidance system. The method comprises a step () of intervention decision adapted to decide whether to trigger the intervention of the collision avoidance system at a current time instant (T) or to postpone said intervention decision at a later time instant (T) depending upon additional first and second information to be acquired between the current time instant (T) and the later time instant (T), said additional first and second information having an associated probability. The invention also concerns an associated system of driving assistance.

Method and system of driving assistance for collision avoidance

Methods for classifying aggregated data in a distributed sensor system are provided and illustrated with a wearable motion sensor network. The classification is operated in a distributed fashion on individual sensor nodes and a base station computer. The method classifies actions using a set of training motion sequences as prior examples and may reject outlying actions that are not in the training categories. Acquired sensor data is processed at the node by taking projections of the data to reduce dimensionality, calculating sparse representations of features using training sequences; validating and classifying local measurements and then transmitting classified measurements to a network base station. The base station aggregates local sensor measurements and performs a global classification of the data by forming global features from the local measurements; calculating sparse representations of global features; validating and classifying valid global features; and labeling global features and their corresponding local features.

System for detection of body motion

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Kensington, CA, United States of America

Ruzena Bajcsy