In some embodiments, apparatuses and methods are provided herein useful for detecting traffic in a shopping facility. A system for detecting traffic in a shopping facility comprises: a plurality of light emitters coupled to motion sensors configured to emit light when motion is detected by the motion sensor; a light detector having a field of view including at least one of the plurality of light emitters; a database; and a control circuit configured to obtain data from the light detector relating to light emitted from the light emitters, estimate a location of the light emitted from the light emitters based on location data associated with the light emitter stored in the database, and track a path of a customer based on successive light emissions from the light emitters.

The present disclosure provides alert implants that comprise a medical device and an implantable reporting processor (IRP), where one example of such a medical device includes a component for a total knee arthroplasty (TKA) such as a tibial extension, a femoral component for hip replacements, a breast implant, a distal rod for arm or leg breakage repair, a scoliosis rod, a dynamic hip screw, a spinal interbody spacer, and tooling and methods that may be used to form the alert implant, and uses of such alert implants in the health maintenance of patients who receive the implant.

The present invention relates to an automated system of measuring and assessing an individual's improvement in motion (for example, a patient's recovery) through exercise performance. In an embodiment of the system of the present invention, two approaches for monitoring movement are introduced for quantifying an individual's performance. Both approaches consider the control population as their reference and consider the difference, or what is referred to in this application as the distance, between the individual's data and the control population as the measure of performance.

The invention is a method for detection is an individual has fallen down using data from a hardware motion sensor, and moreover, integrating contextual and environmental data to improve accuracy and reduce false positives. Such a sensor could be embedded into a smartwatch, mobile phone, or wearable device, rendering this method suitable for tracking the health and wellness of individuals of limited independence such as the elderly.

Surgical robotic systems including a user console for controlling a robotic arm or a surgical robotic tool are described. The user console includes components designed to automatically adapt to anthropometric characteristics of a user. A processor of the surgical robotic system is configured to receive anthropometric inputs corresponding to the anthropometric characteristics and to generate an initial console configuration of the user console based on the inputs using a machine learning model. Actuators automatically adjust a seat, a display, or one or more pedals of the user console to the initial console configuration. The initial console configuration establishes a comfortable relative position between the user and the console components. Other embodiments are described and claimed.

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 system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb;
wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

Embodiments herein relate to devices and related systems and methods for motion sickness prevention and mitigation. In an embodiment, a method of preventing or mitigating motion sickness in a subject is included, the method tracking motion of the subject using a first motion sensor; estimating a vestibular system input based on tracked motion of the subject; tracking head position of the subject using the first motion sensor; estimating a visual system input based on tracked head position of the subject; estimating consistency between the vestibular system input and the visual system input; and initiating a responsive measure if the estimated consistency crosses a threshold value. Other embodiments are also included herein.

Disclosed are various embodiments of a virtual reality Berg balance scale. A patient can perform a Berg balance test using a virtual reality system. The system can include at least one wearable sensor worn by a patient, and at least one environmental monitor directed towards the patient. A computing device can acquire movement data from the wearable sensor. The computing device can acquire environment data from the environmental monitor. An application on the computing device can then calculate one or more balance scores based at least in part on the movement data and the environment data.

Provided is a wearable personal digital device for point of healthcare saliva testing. The wearable personal digital device may comprise a processor, a display, biometric sensors, activity tracking sensors, a memory unit, a communication circuit, a housing, an input unit, a projector, a timepiece unit, a haptic touch control actuator, a band, a mounting clip, a saliva sample insert apparatus, a pinhole, a light emitting diode board, a battery, and a set of sensors. The processor may be operable to receive data from an external device, provide a notification to a user based on the data, receive a user input, and perform a command selected based on the user input. The housing may be adapted to enclose the components of the wearable personal digital device. The band may be adapted to attach to the housing and secure the wearable personal digital device on a user body.