Abstract: A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle.

Abstract: Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system are provided. Such systems and methods can include a learning module receiving the alarm signal and additional information associated with the alarm signal, using the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to an automated dispatcher module, and the automated dispatcher module using the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.

Abstract: Examples relate to a surgical microscope system and a corresponding apparatus, method and computer program. The surgical microscope system comprises one or more sensors for providing sensor information about a balance of the surgical microscope system. The surgical microscope system comprises one or more brakes for holding at least one component of the surgical microscope system in place. The surgical microscope system comprises a surgical microscope. The surgical microscope system comprises a processing module, configured to process the sensor information. The processing module is configured to determine an information about the balance of the surgical microscope system. In some embodiments, the processing module is configured to provide a warning to a user of the surgical microscope system based on the information about the balance of the surgical microscope system. The warning indicates danger of imbalance in the surgical microscope system.

Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.

Abstract: A computer-implemented method, computer program product and computing system for: monitoring a bedside monitoring device to detect the occurrence of alarms, thus defining detected alarms; processing the detected alarms to determine their authenticity; and if a detected alarm is determined to be non-authentic, adjusting one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm.

Abstract: A medical device is disclosed. The medical device includes an RFID reader for receiving information from at least one RFID transponder. The medical device also includes a memory for storing a database and at least one processor for processing information. Also, a remote controller for a medical device is disclosed. The remote controller includes an information receiver for receiving information related to food. The infusion device also includes a memory for storing a database and at least one processor for processing information. A method for use in a medical device is also disclosed. The method includes receiving information from an RFID transponder related to food. Also, the processing the information by comparing the information to a database is included in the method. The method also includes determining the acceptability of the food and providing information related to acceptability to the user.

Abstract: A theft detection device, for coupling to a merchandise product, includes a housing with a first end of a conductive strap attached to the housing. The housing has an opening for a second end of the conductive strap. The conductive strap secures the theft detection device to the product, and activated when the second end of the conductive strap is inserted into the opening. A light sensor, within the housing, senses the amount of light shining on the detection device. A motion sensor, within the housing, senses movement of the detection device. An emitter, within the housing, provides audio signals to a user. A microcontroller, within the housing, is coupled to the light sensor, the motion sensor, and the emitter. The emitter emits an alarm based on data from the light and motion sensors. The emitter emits an alarm when the conductive strap is cut or loosened from the product.

Abstract: A mobile device includes a smartcard controller that does not rely on power received from an interrogating RF field. The mobile device also includes a small inductive device capable of inductive coupling with an RFID reader. The smartcard controller includes circuitry to modulate an impedance of a port coupled to the inductive element when in the presence of an interrogating RF field at substantially 13.56 MHz.

Abstract: A system for automatically sensing, monitoring, and analyzing livestock to provide age verification and relative vigor metrics. The system generally includes a tag attachable to a livestock, a location detector, and a data processor. The tag senses livestock motion and produces first data indicative of a physical parameter. The location detector senses livestock location and produces second data indicative of the physical parameter. The data processor receives and stores a first aggregation of data of the same type as the first data and a second aggregation of data of the same type as the second data for a plurality of other livestock. The data processor statistically analyzes the first data and second data in relation to the first and second aggregations of data and generates an indication of the age and a relative vigor metric of the livestock.

Abstract: Methods, systems, and apparatuses for integrating medical device data are disclosed. In an example embodiment, a server receives infusion therapy progress data that is generated by an infusion pump and renal failure therapy progress data that is generated by a renal failure therapy machine. The server also receives physiological data that is generated by at least one physiological sensor. The server determines fluid balance data based on a difference between the infusion therapy progress data and the renal failure therapy progress data. The server stores the fluid balance data in conjunction with hemodynamic information from the physiological data to a patient's medical record.

Abstract: An anomaly detection system includes multiple sensors fixed within a user-selected environment to measure environmental conditions and wirelessly transmit data corresponding to the environmental conditions to a main device. The main device includes circuitry encoded with instructions from a trained machine learning model to identify one or more anomalies from the data received from the sensors. The main device transmits data related to the anomalies and the environmental conditions to a cloud storage via a plurality of wired and wireless connections. The cloud storage wirelessly relays the data to a user device. The user device, based on user's feedback, relays a feedback signal, via the cloud storage, to the trained machine learning model, where the feedback signal is incorporated into the trained machine learning model for the purpose of retraining.

Abstract: A food texture presentation apparatus of the present embodiment includes a force stimulation presentation unit, a vibration stimulation presentation unit, and a temperature stimulation presentation unit that present different kinds of haptic stimuli in the oral cavity, a selection unit that selects a haptic stimulus to be presented, according to the food texture, and a force stimulation controller, a vibration stimulation controller, and a temperature stimulation controller that control respectively the force stimulation presentation unit, the vibration stimulation presentation unit, and the temperature stimulation presentation unit that present the selected haptic stimulus.

Abstract: A system generates haptic feedback in an electric vehicle. The system comprises a frame, an energy storage device, and a wheel rotatably coupled to the frame. A motor receives power from the energy storage device and provides torque to the wheel. A controller determines a first operational state of the electric vehicle and transmits a first torque signal to the motor to control the motor to transmit first torque levels to the wheel to propel the electric vehicle. The controller determines a second operational state of the electric vehicle and transmits a second torque signal to the motor assembly. The motor assembly transmits second torque levels to the wheel to generate haptic feedback. The second torque signal is based on the second operational state of the electric vehicle and a torque profile stored in the memory, where the torque profile defines an irregular-shaped periodic waveform (e.g., a heartbeat rhythm).

Abstract: An information processing device obtains audio data, obtains, as teacher vibration data, information regarding vibration data used to vibrate a vibrating device, the vibration data being produced on a basis of the audio data, performs machine learning using the audio data and the teacher vibration data as input, and generates learned model data used to convert an audio waveform into a vibration waveform.

Abstract: An appliance including an instruction confirmation device and a method for controlling the confirmation device are provided. The appliance comprises a controller configured to communicate with a user input device and to communicate wirelessly with an external device. The confirmation device is adjustable by the user input controls and the external device to generate a confirmatory signal in response to receipt of an instruction or to not generate such a signal.

Abstract: A device monitors performance by a subject of a physical activity. The device includes first and second assemblies that each includes a housing, a set of sensors, and a communication link to the other one of the assemblies. Each assembly is configured for removable attachment to corresponding body parts of the subject that have relative motion about a joint of the subject. The device has a resilient physical link that couples the assemblies and allows relative motion of the assemblies. The device further includes a controller disposed in the device for processing data from the sensors, memory for storing the data, and a wireless transceiver disposed in the system for transmitting the data to a destination.

Abstract: Differing operations of a wireless communication device benefit from different antenna configurations, such as for positioning, where closely spaced antennas are desirable, and data communication, where antenna diversity is desirable. A device is configured to receive a request for receive a request for determining a position of a user equipment (UE), select one of a first plurality of antennas or a second plurality of antennas for determining the position of the UE, receive wireless signals using the selected first plurality of antennas or the second plurality of antennas, and determine the position of the UE based at least in part on the received wireless signals.

Abstract: A vehicle, in particular motorcycle, includes a frame, handlebars with two handlebar grips and a communication unit with at least one sensor for the acquisition of data relating to the vehicle, and an interface for transmitting the acquired data. A handlebar protector is arranged, preferably centrally, between the handlebar grips and the communication unit is arranged underneath the handlebar protector or at least partially, preferably entirely, within the handlebar protector.

Abstract: A driving support device is provided which can efficiently perform training for driving support. A driving support device (11) is equipped to a vehicle (1), and includes a driving support execution unit (201) capable of executing driving support to control steering and/or braking of the vehicle 1, and executing the driving support when the driver of the vehicle (1) performs a predetermined operation using a predetermined operator provided in the vehicle (1); and a driving support training control unit (202) which executes driving support training processing for the driver of the vehicle (1) to train the predetermined operation, in which the driving support training control unit (202) executes the training support training processing after the vehicle (1) has started up and during vehicle stop.

Abstract: A method of performing diagnostics in a hierarchical diagnostics electrical architecture of a vehicle, the vehicle comprising a plurality of on-board computing devices for hosting the hierarchical diagnostics electrical architecture. The hierarchical diagnostics electrical architecture comprising: a component diagnostic layer having a plurality of electronic control units each comprising a diagnostics server module; and at least one supervisory diagnostic layer.