A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

In some aspects, a device is disclosed for monitoring load bearing of a foot. The device can include a housing, a transmitter, and a pressure sensor. The housing can be positioned under a foot of a patient and attach to the foot. The transmitter can wirelessly transmit an indication that a portion of the foot is supporting at least a threshold weight. The pressure sensor can wake up from a sleep mode responsive to the portion supporting at least the threshold weight, cause the transmitter to transmit the indication, and return to the sleep mode.

An apparatus and method for inspection of at least one of grass, artificial turf, infill, or dirt, on a surface, using optical photographic images from a camera and three-dimensional (“3D”) depth scans using the camera and one or more laser, to create a mask to distinguish aspects of the surface, so that the surface can be measured and analyzed.

A method of determining a CRF level for a user of a fitness tracking system includes receiving activity data from at least one activity sensor carried by the user during a number of workouts, the activity data including distance data for each of the number of workouts, and then generating workout data based on the activity data. The method further includes storing the workout data in a memory, the memory further including demographic data for the user. When the an attribute of the workout data is less than a threshold number, the method includes determining a first CRF level for the user based on a first CRF model. When the attribute of the workout data is greater than the threshold number, the method includes determining a second CRF level for the user based on a second CRF model, and displaying the first and second CRF levels.

A device and a method for identifying a motion pattern of a person that allow suitable feedback about an identified motion pattern to be produced in real time, to address the disadvantage that there is no provision for direct feedback to the person in the event of abnormal behavior being detected. This is achieved by virtue of a device for identifying a motion pattern of a person having at least one sensor for capturing motion parameters and at least one evaluation unit, which is couplable to the at least one sensor, for evaluating the motion parameters and for producing a motion pattern.

An appliance (10) for monitoring the compression therapy provided by a compression means comprises a measuring device made of a textile material for placing on a wearer and having two end portions (20, 22) which enclose between them a central portion (28), wherein two electrodes (12-18) are arranged in each end portion (20, 22) and each form an electrode pair with an electrode (12-18) of the other end portion (20, 22), wherein one electrode pair determines a flow of electric current and the other electrode pair determines an electrical voltage between the electrodes (12-18) of a pair, wherein the electrodes (12-18) are designed such that, when the measuring device is placed on a wearer, the electric current between the electrodes (12-18) of a pair flows through the body of the wearer underneath the skin. The compression therapy is monitored here by monitoring, through determination of impedance, the decrease in liquid in tissues that are treated by the compression.

An anomaly detection device that includes an extraction unit that acquires sensor data from a sensor installed in footwear and extract a gait feature amount characteristic in gait of a pedestrian wearing the footwear by using the sensor data, and a detection unit that detects an anomaly in a foot of the pedestrian walking wearing the footwear based on the gait feature amount extracted by the extraction unit.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

Wearable ergonomics improvement systems and related methods are disclosed. An example ergonomics improvement system includes a membrane including a first frame having a plurality of first cutouts defining a first pattern. The system includes a sensor coupled to the membrane and includes a second frame having a plurality of second cutouts defining a second pattern. The first pattern is complementary to the second pattern.