An information processing apparatus (100) according to the present application includes two or more force sensors (110) that each detect a force of two or more different fingers of a user, and a processing unit (122) that executes information processing related to measurement of forces of the two or more different fingers based on detection results detected by each of the two or more force sensors (110).

A system that includes an electronic baton device with motion and capacitive sensors. The system includes a processor and non-tangible computer readable media having stored programming instructions thereon that, when executed, cause the processor to receive sensor data from the motion and capacitive sensors, and determine an exchange zone to exchange the baton device between an incoming runner and an outgoing runner of a relay, based on the sensor data. The processor determines relay race metrics for each athlete of the relay team, baton metrics associated with each athlete, a usage efficiency in the exchange zone, and a baton transition metrics. The processor selectively displays on a display device the relay race metrics for each athlete, the determined baton metrics, the determined usage efficiency in the exchange zone, and the determined baton transition metrics in one or more selected graphical user interfaces.

The present invention relates to the field of diagnostics. Specifically, it relates to a method for assessing Huntington's disease of the pre-manifest stage in a subject comprising the steps of determining at least one performance parameter from a dataset of fine motoric measurements from said subject, comparing the determined at least one performance parameter to a reference, and assessing Huntington's disease of the pre-manifest stage in the subject based on said comparison. Yet, the invention contemplates a device and a system for carrying out the aforementioned methods and the use of such device or system for assessing Huntington's disease of the pre-manifest stage in the subject.

The present invention provides a human-computer interactive rehabilitation system, which can automatically calculate rehabilitation strength suitable for the patient, so that it is not necessary to manually evaluate and adjust the parameter settings in human-computer interactive rehabilitation system when different patients use it. At the same time, the human-machine interactive rehabilitation system and the hospital end can track the rehabilitation status and intervene through the data platform at any time. The platform establishes a cloud community feedback and encouragement mechanism, and immediately transmits the rehabilitation results to the designated barriers of the patients, provides patient encouragement feedback, and strengthens the community interaction and linkage in the medical relationship.

Examples are disclosed that relate to sensor devices configured to sense bending in multiple joints. One example provides a sensor device configured to span a first articulable joint and a second articulable joint. The sensor device comprises a plurality of electrodes arranged in a stack and connected to a base. The plurality of electrodes comprise a first electrode arranged at a first joint region of the sensor device that is configured to be positioned at the first articulable joint, a second electrode arranged at a second joint region of the sensor device that is configured to be positioned at the second articulable joint, and a reference electrode.

According to an aspect, there is provided a grip measurement system (300) comprising a door handle (100') comprising a first sensor (108) configured to measure a first parameter indicative of an amount of a part of a user’s hand in contact with the first sensor; a storage device (304); and a processor (302) configured to estimate, based on the measured first parameter, a force applied onto the first sensor by the part of the user’s hand; and store an indication of the estimated force in the storage device.

The abnormal data processing system is provided with: a storage unit for holding a multiple-subject DB in which data on multiple subjects are accumulated and individual-subject DB in which data on individual subjects are accumulated; an individual-subject DB divergence-degree calculation unit for calculating an individual-subject DB divergence degree which is the degree of divergence of the new data from the individual-subject DB; a multiple-subject DB divergence degree calculation unit for calculating a multiple-subject DB divergence degree which is the degree of divergence of the new data from the multiple-subject DB; and a composite divergence degree calculation unit for determining a composite divergence by compositing the individual-subject DB divergence degree and the multiple-subject DB divergence degree using the number of data instances in the individual-subject DB. The abnormal data processing system determines whether or not the new data is abnormal on the basis of the composite divergence degree.

A rehabilitation system includes left-hand and right-hand rehabilitation apparatuses that cooperate with programming instructions operating on a patient computer and on a therapist computer that is remote from the patient computer. Each apparatus includes a hand section with movement sensors supported on the backside of the hand of the patient from which patient hand movements can be derived, finger sections moveable relative to the hand section with sensors to track flexing and movement of the finger sections relative to the hand, a wrist section supporting vital sign sensors communicating with the patient, and adjustable resistive elements applied to the finger or hand movements. The system enables a therapist to communicate target movements to the user, as well as allowing the comparison between patient movements conducted at different times or with different hands. Sensor data can be used to measure patient performance that is provided to the patient and the therapist.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.

A writing instrument that includes a writing element for depositing a writing material on a support and a plurality of sensors including at least a force sensor and a movement sensor, a communication unit that exchanges data with a remote device a control unit connected to the sensors and to the communication unit in order to transmit to the remote device the measurements provided by the sensors, a memory unit connected to the control unit that stores one or more measurements from the sensors; and a hollow casing that contains at least part of the writing element so that the writing end is exposed, and also houses the sensors, the control unit, the memory unit and the communication unit.