International Business Machines Corporation

Philip Morris Products S.a.

John Jeremy Rice

James R Kozloski

Clifford A Pickover

Mark C H Lamorey

Raquel Norel

Robert K Montoye

Katsuyuki Sakuma

Pablo Meyer Rojas

James R Kozlosk

John Ulrich Knickerbocker

Alejandro Gabriel Schrott

Levente Klein

Gustavo Alejandro Stolovitzky

Ajay K Royyuru

Stephen John Heisig

Julia Hoeng

Viatcheslav Gurev

Wendy Chong

Manuel Claude Peitsch

Paolo Di Achille

Avner Abrami

Stephanie M Corthesy

Joerg J Sprengel

Thomas Bonk

Katrin Stolle

Vittorio Caggiano

Gaddi Blumrosen

Jane J Yu

Techniques that facilitate natural language processing of a motion alphabet for unsupervised clinical scoring are described. In one example, a system converts sensor data from one or more movement capturing devices associated with a user identity into symbolic data indicative of a symbolic representation of the sensor data. The system also analyzes the symbolic data associated with the one or more movement capturing devices based on a symbolic analysis technique.

Natural language processing of a motion alphabet for unsupervised clinical scoring

Aspects include a method, system and computer program product for alleviating an episode of a movement disorder condition for a patient. The method comprises deploying an unmanned aerial vehicle (UAV) to a location of a patient based on an occurrence of an episode of a movement disorder condition. A first gross sensory change stimulus is selected with a processor. The first gross sensory change stimulus is projected from the UAV. An attempt to alleviate the episode of the movement disorder condition is performed based at least in part on the projecting of the first gross sensory change stimulus from the UAV. The alleviating of the episode of the movement disorder condition is detected based on the gross sensory change stimulus from the UAV.

Alleviating movement disorder conditions using unmanned aerial vehicles

Embodiments of the present invention are directed to a systems and methods for registration of pulse wave signal and determining arterial pressure. A non-limiting example of the system includes a strain gauge sensor. A non-limiting example of the method includes receiving, to a processor, a first pressure pulse signal from a first strain gauge sensor. The method also includes receiving, to the processor, a second pressure pulse signal from a second strain gauge sensor. The method also includes determining a pulse transit time between the first strain gauge sensor and the second strain gauge sensor based at least in part upon the first pressure pulse signal and the second pressure pulse signal. The method also includes determining an arterial pressure based at least in part upon the pulse transit time.

Heart rate and blood pressure monitoring biosensors

Writing recognition using a wearable pressure sensing device includes receiving pressure measurement data from a pressure sensor disposed upon a body part of a user. The pressure measurement data is indicative of a change in pressure of the body part due to an interaction of the body part with a medium indicative of a writing gesture by the user. A start boundary and end boundary for each of a plurality of writing symbols is detected based upon the pressure measurement data. At least one feature of the pressure measurement data associated with the plurality of writing symbols is extracted. A symbol pattern is detected based upon the extracted features, and at least one letter is detected based upon the symbol pattern. A word is detected based upon the detected at least one letter.

Writing recognition using wearable pressure sensing device

Embodiments include methods, systems and computer program products for monitoring a person for a traumatic brain injury. Aspects include monitoring a gait of the user with one or more accelerometers embedded in the uniform and analyzing, by a processor, one or more characteristics of the gait of the user. Aspects also include determining whether the one or more characteristics of the gait indicate that the user may have suffered the traumatic brain injury and creating an alert that the user of the helmet may have suffered the traumatic brain injury.

Monitoring a person for indications of a brain injury

A restaurant management method, system, and non-transitory computer readable medium, include receiving a state of a user from user data, determining a confidence value that a restaurant change results in an improvement of the state of the user, and deploying the restaurant change when the confidence value is greater than a predetermined threshold value.

System, method, and recording medium for restaurant management

Various embodiments provide a customized cosmetics recommendation for a specific user. In one embodiment a method comprises capturing an image that includes the face of the specific user, producing a set of hyperspectral images from the image, analyzing the hyperspectral images to determine a set of spectral components of the face, and providing a recommendation for one or more cosmetics customized for the specific user based on the set of spectral components and cosmetician expert judgement. The image may be captured using a hyperspectral imaging camera. The set of spectral components is compared to a plurality of previous sets of spectral components to find a match and one or more cosmetics mapped to the match are provided as the recommendation. Additionally, a set of conditional options may be received and one or more cosmetics mapped to the set of conditional options and the set of spectral components are provided as the recommendation.

Method system and medium for personalized expert cosmetics recommendation using hyperspectral imaging

Embodiments include methods, systems and computer program products for monitoring a user of a helmet for cumulative concussions. Aspects include monitoring one or more sensors in the helmet and receiving an output from the one or more sensors corresponding to an impact experienced by the helmet. Aspects also include calculating a cumulative concussion score based on the output of the one or more sensors and displaying an indication of the cumulative concussion score via an indicator on the helmet.

Helmet having a cumulative concussion indicator

Embodiments include methods, systems and computer program products for monitoring a user of a helmet for traumatic brain injury. Aspects include obtaining a saliva specimen from a mouthguard and providing the saliva specimen to a lab on chip. Aspects further include determining whether the saliva specimen contains a biomarker that indicates the user suffered a traumatic brain injury and creating an alert that the user of the helmet has suffered a traumatic brain injury.

Mouthguard for analysis of biomarkers for traumatic brain injury

Embodiments include method, systems and computer program products for automatic adjustment of helmet parameters based on a category of play. Aspects include monitoring a plurality of sensors in a helmet and determining the category of play for a user of the helmet based on data received from the plurality of sensors. Aspects further include automatically adjusting one or more parameters of the helmet based on the category of play.

Automatic adjustment of helmet parameters based on a category of play

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Mohegan Lake, NY, United States of America

John Jeremy Rice