A temperature-measuring device for detecting moving object trajectories is provided. The temperature-measuring device includes a signal control module, a temperature-sensing module and a motion detection module. The temperature-sensing module is electrically connected to the signal control module, for measuring a temperature of each of a plurality of moving objects in an object temperature-measuring range. The motion detection module is electrically connected to the signal control module, for capturing a motion trajectory of each of the moving objects in an object motion detection range. The object temperature-measuring range is smaller than or equal to the object motion detection range, and the object temperature-measuring range falls entirely within the object motion detection range. The temperature-sensing module can be configured to respectively measure the temperatures of the moving objects in the object temperature-measuring range according to the motion trajectories of the moving objects that are provided by the motion detection module.

A temperature-measuring device for detecting moving object trajectories is provided. The temperature-measuring device includes a signal control module, a temperature-sensing module and a motion detection module. The temperature-sensing module is electrically connected to the signal control module, for measuring a temperature of each of a plurality of moving objects in an object temperature-measuring range. The motion detection module is electrically connected to the signal control module, for capturing a motion trajectory of each of the moving objects in an object motion detection range. The object temperature-measuring range is smaller than or equal to the object motion detection range, and the object temperature-measuring range falls entirely within the object motion detection range. The temperature-sensing module can be configured to respectively measure the temperatures of the moving objects in the object temperature-measuring range according to the motion trajectories of the moving objects that are provided by the motion detection module.

A stabilizing ability, so-called stability, according to a change in body motion of a wearer is to be appropriately evaluated to achieve effective training, coaching, and fitting of athletic equipment.

Provided are a plurality of body motion sensors 40 that is attached to a wearer 1 or an arbitrary part of a barbell 1a to be used by the wearer 1 and is capable of detecting three-dimensional displacement or rotation of each part, a memory that records a detection result by the plurality of body motion sensors 40 as body motion data and stores index data holding a correlation between an amount of deviation from a stable reference value for evaluating reproducibility of body motion and an index for evaluating a stabilizing ability, an index calculation unit 117g that refers to the index data based on a reference value or a threshold acquired from the recorded body motion data and calculates the index for evaluating the stabilizing ability, and an output device that displays or outputs the index calculated by the index calculation unit 117g.

A stabilizing ability, so-called stability, according to a change in body motion of a wearer is to be appropriately evaluated to achieve effective training, coaching, and fitting of athletic equipment.

Provided are a plurality of body motion sensors 40 that is attached to a wearer 1 or an arbitrary part of a barbell 1a to be used by the wearer 1 and is capable of detecting three-dimensional displacement or rotation of each part, a memory that records a detection result by the plurality of body motion sensors 40 as body motion data and stores index data holding a correlation between an amount of deviation from a stable reference value for evaluating reproducibility of body motion and an index for evaluating a stabilizing ability, an index calculation unit 117g that refers to the index data based on a reference value or a threshold acquired from the recorded body motion data and calculates the index for evaluating the stabilizing ability, and an output device that displays or outputs the index calculated by the index calculation unit 117g.

A laundry appliance includes a camera assembly mounted within view of a chamber configured for receiving a load of clothes. A controller is operably coupled to the camera assembly for waking the camera only when certain conditions occur. Specifically, the controller is configured to detect an activity trigger indicative of interaction with the laundry appliance, obtain one or more images of the chamber using the camera assembly in response to detecting the activity trigger, and analyze the one or more images using a machine learning image recognition process to identify the occurrence of a predetermined condition or event.

A laundry appliance includes a camera assembly mounted within view of a chamber configured for receiving a load of clothes. A controller is operably coupled to the camera assembly for waking the camera only when certain conditions occur. Specifically, the controller is configured to detect an activity trigger indicative of interaction with the laundry appliance, obtain one or more images of the chamber using the camera assembly in response to detecting the activity trigger, and analyze the one or more images using a machine learning image recognition process to identify the occurrence of a predetermined condition or event.

A method for energy-efficient state change detection and classification of streaming sequential data includes receiving via a first prediction model, sequential data from a sensor. The first prediction model determines a change in an activity state based on the sequential data. An indication that the activity state has changed is transmitted to a second prediction. The second prediction model determines an updated activity state based on the sequential data. The updated activity state is sent to the first prediction model, after which the second prediction enters an inactive state.

A method for energy-efficient state change detection and classification of streaming sequential data includes receiving via a first prediction model, sequential data from a sensor. The first prediction model determines a change in an activity state based on the sequential data. An indication that the activity state has changed is transmitted to a second prediction. The second prediction model determines an updated activity state based on the sequential data. The updated activity state is sent to the first prediction model, after which the second prediction enters an inactive state.

In one embodiment, an apparatus (12) that samples a signal obtained or derived from an accelerometer, filters the samples, accumulates the filtered samples, and determines which limb the apparatus is associated with based on a comparison of the filtered accumulated samples and a threshold set.

In one embodiment, an apparatus (12) that samples a signal obtained or derived from an accelerometer, filters the samples, accumulates the filtered samples, and determines which limb the apparatus is associated with based on a comparison of the filtered accumulated samples and a threshold set.