An activity monitoring device may provide data indicating one or more activities performed by a user. The wearable device may send the data to another computing device. An interface may be used to display the data. One or more display characteristics associated with the interface may be determined based on a location of the activity monitoring device.

A radial displacement pulse wave measuring device and application methods thereof are provided. The radial displacement pulse wave measuring device includes an airbag, a pressure control module, a displacement sensing module, and a computing unit. The pressure sensor of the pressure control module is configured to measure a vascular volumetric pulse wave of an artery, while the displacement sensing module is configured to measure a vascular radial displacement pulse wave by detecting dynamic distance variations between the displacement sensing module and a measure site covering the artery. The computing unit controls pressure adjustment of the airbag via the pressure control module and scanning via the displacement sensing module to optimize measurement conditions for accurately recording the vascular radial displacement pulse wave.

Apparatus for assaying blood alcohol concentration (BAC), the apparatus comprising: a housing for receiving a finger of a person; at least one light source that transmits light at at least one assay wavelength in respective directions so that the transmitted light from all the light sources converges to overlap in a same convergence region that illuminates an assay region of a finger received by the housing; a light sensor positioned to receive and generate an assay signal responsive to assay light reflected by tissue in the assay region; and a light shield that enables assay light from the convergence region to reach the light sensor and shields the light sensor from stray light that is not reflected by tissue in the assay region from assay light originating from the at least one light source.

A method for identifying activities is provided. The method involves obtaining a training set, the training set comprising training samples, a training sample comprising: a sequence of sensor data obtained from sensors disposed on a user spanning a first time duration, and a label of an activity the user was engaged in during collection of the sequence of sensor data. The method involves training a two-stage neural network to generate an output indicating a corresponding label of the activity, wherein the two-stage neural network comprises: a low-level encoder configured to receive a subset of the sequence of sensor data spanning a second time duration as input and generate a low-level output; and a high-level encoder configured to receive low-level outputs generated by the low-level encoder and generate the output indicating the corresponding label of the activity.

An equine sensor system can comprise an equine sensor and a computing device. The equine sensor can include a strap removably coupled to a tail of an equine, an accelerometer configured to collect accelerometer data, and a transmitter coupled to the accelerometer configured to transmit the accelerometer data. The computing device can include a memory, a receiver configured to receive the accelerometer data, and a processor coupled to the memory and the receiver, wherein the processor is configured to determine a stride length of the equine based on the accelerometer data and positional data.