A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting allowance or disallowance of voice control based on both the SNR computed and the percentage of sensors computed.

A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting allowance or disallowance of voice control based on both the SNR computed and the percentage of sensors computed.

In a soft actuator, a soft actuator assembly having the soft actuator, and a wearable robot having the soft actuator or the soft actuator assembly, the soft actuator includes a first spring bundle, a first conductive pad and a second conductive pad. The first spring bundle has a plurality of fine wires, and is configured to be capable of being changed between a contraction state and a relaxation state according to a change of temperature. The first conductive pad has a first connector electrically connected to a first end of the first spring bundle. The second conductive pad has a second connector electrically connected to a second end of the first spring bundle. The first connector is fixed between the first conductive pad and the first spring bundle, and the second connector is fixed between the second conductive pad and the first spring bundle.

Devices, systems, and methods herein relate to non-invasive patient monitoring for infection detection and infection resolution. These systems and methods may receive and measure patient biosignals to estimate an infection level of a patient. In some embodiments, a method may include the steps of receiving physiological data of a patient. An infection measure may be estimated based on the physiological data. An infection state of the patient may be detected based at least in part on the estimated infection measure.

A pressure sensing device including an elongate housing configured to be at least partially inserted into a user, and that defines an external surface having a proximal end and a distal end defining a longitudinal axis therebetween. The device includes a first pressure sensor, configured to sense pressure applied to a first portion of the external surface and to convert the sensed pressure to first pressure data, and a second pressure sensor, configured to sense pressure applied to a second portion of the external surface and to convert the sensed pressure to second pressure data. Sensor is spaced, along the longitudinal axis, toward the distal end from sensor.

Provided are moving image obtaining means that obtains a moving image of a region including at least a mouth or a peripheral portion of the mouth in a face, analysis means that analyzes a chewing action based on the moving image of the region obtained by the moving image obtaining means, quality determination means that determines quality of the chewing action based on information of the chewing action analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

A detection device that includes an extraction unit that extracts waveform data based on a gait of a walker using sensor data acquired from a sensor installed on a foot of the walker and a detection unit that detects a gait event from the waveform data extracted by the extraction unit.

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 smart ring includes a battery, memory, processing circuitry, a plurality of sensors, a plurality of antennas, and a battery, each coupled to one another and all enclosed in a casing, wherein the processing circuitry is configured to conserve the battery by any of sending data to the cloud service when an application is open on the user device, sending data to the cloud service when a threshold is crossed, waking up processing or communicating when there is a change in motion detected by the accelerometer.

Systems and methods for providing algorithmic equipment and/or accessory recommendations are disclosed herein. In one embodiment, a method providing an equipment or accessory recommendation to an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing an equipment or accessory recommendation to the athlete.