A61B2503/20

DETERMINATION DEVICE AND POSTURE CONTROL DEVICE
20230083094 · 2023-03-16 ·

A determination device includes: a sway detector that detects sway of a person when the person moves; and a controller. The determination device performs spectrum analysis by resolving sway data outputted from the sway detector into frequency components. In a spectrum obtained from the spectrum analysis, a first peak, a second peak, and a third peak sequentially appear in order of increasing frequency. The controller determines a state of a body of the person based on the first peak, the second peak, and the third peak.

INDIVIDUALIZED HEAT ACCLIMATIZATION

A method according to one embodiment includes receiving baseline health data of a user, receiving activity-based health data of the user collected by a sensor device worn by the user while participating in physical activity, and receiving environmental-based data of the user. A baseline core body temperature of the user is calculated. It is determined whether a core body temperature of the user has increased a predetermined amount from the baseline core body temperature of the user for a predetermined amount of time during each of a predetermined number of time intervals. In response to a determination that the core body temperature has increased the predetermined amount from the baseline core body temperature of the user for the predetermined amount of time during each of the predetermined number of time intervals, a personalized schedule is generated for the user to follow while participating in the physical activity.

INITIAL DETECTION OF HEAT ACCLIMATIZATION OF AN INDIVIDUAL USER AND INDIVIDUALIZED HEAT RE-ACCLIMATIZATION SUBSEQUENT TO A DETERMINATION THAT A USER HAS BECOME HEAT DE-ACCLIMATIZED

A method according to one embodiment includes determining whether a user has successfully heat acclimatized to a predetermined environment. Subsequent to a determination that the user has successfully heat acclimatized, it is determined whether the user has heat de-acclimatized to the predetermined environment. In response to a determination that the user has heat de-acclimatized, a predetermined process is performed. The predetermined process includes determining whether the user has successfully heat re-acclimatized to the predetermined environment. The predetermined process further includes updating a personalized schedule and outputting the updated personalized schedule to a user device of the user in response to a determination that the user has successfully heat re-acclimatized to the predetermined environment, and outputting an alert to the user device of the user and/or to a user device of a second user in response to a determination that the user has not successfully heat re-acclimatized to the predetermined environment.

PERSONALIZED SCHEDULES FOR DISPLAYING TO A USER PARTICIPATING IN ACTIVITY TO THEREBY MITIGATE PRODUCTIVITY LOSSES AND USER INJURIES AND/OR ILLNESSES

A method according to one embodiment includes receiving baseline health data of a user, receiving activity-based health data of the user collected by a sensor device worn by the user while participating in physical activity and receiving environmental-based data of the user collected by the sensor device worn by the user. An alert is output for display on a user device in response to a determination that a core body temperature of the user is greater than a predetermined threshold temperature. A personalized schedule is generated for the user to follow while participating in the physical activity. The personalized schedule includes at least one instruction of when to start participating in the physical activity and at least one instruction of when to stop participating in the physical activity. The method further includes outputting the personalized schedule for display on the user device.

MACHINE LEARNING BASED PERFORMANCE PREDICTION

A method may include training one or more machine learning models to predict a decline in employee performance. The machine learning models may be trained in a federated manner to avoid the exchange of personal data. The trained machine learning models may be applied to data associated with an employee that corresponds to one or more leading indicators of employee burnout. In response to the trained machine learning models predicting a decline in the performance of the employee, the root causes of the predicted decline in the performance of the employee may be identified by applying an explainability algorithm such as Shapley Additive Explanations (SHAP). A report including a corrective action for the predicted decline in employee performance may be generated based on the root causes. Related systems and computer program products are also provided.

SYSTEM AND METHOD TO ENHANCE IN-FLIGHT CONTROLLED REST FOR FLIGHT CREW

In one embodiment, a system to enhance in-flight controlled rest for a flight crew includes a pilot user interface, a co-pilot user interface, and a flight crew monitoring system. The flight crew monitoring system is configured to: (i) determine a physiological state of both a pilot and a co-pilot, (ii) selectively generate one or more alerts for the pilot and/or the co-pilot based on the determined physiological state, (iii) inhibit generating the one or more alerts for the pilot upon receipt of a first inhibit signal from the pilot user interface, (iv) inhibit generating the one or more alerts for the co-pilot upon receipt of a second inhibit signal from the co-pilot user interface, and (v) generate and store data indicating a time of day and a duration that the one or more alerts for the pilot or co-pilot, respectively, were inhibited.

PROFICIENCY DETERMINATION APPARATUS, METHOD, AND NON TRANSITORY COMPUTER READABLE MEDIUM

According to one embodiment, a proficiency determination apparatus includes a processing circuit. The processing circuit acquires first time-series data about biological information of a worker in a predetermined period. The processing circuit calculates second time-series data about a physiological index indicating a mental stress on the worker by analyzing the first time-series data. The processing circuit calculates an appearance condition of the physiological index by analyzing the second time-series data. The processing circuit determines a proficiency of the worker based on the appearance condition of the physiological index.

Helmet and sensor attachment structure

A helmet includes a non-contact sensor for a living body, a cap body, and a headband attached to an inner side of the cap body. The headband is provided with a first projection and a second projection on a surface facing a front head portion (FD) of the cap body. The non-contact sensor for the living body includes a first housing having a first surface and a second surface opposing the first surface, a first claw portion provided on the first surface, and a second claw portion provided on the second surface. The first claw portion is brought into contact with and fixed to the first projection, and the second claw portion is brought into contact with and fixed to the second projection.

Intelligent surgical tool control system for laparoscopic surgeries
11638615 · 2023-05-02 · ·

An intelligent surgical tool control system, comprising a tool management system; an indicating means to indicate at least one surgical event; a communicable database for storing, for each item of interest, its identity, its present 3D position and at least one previous 3D position; and at least one processor to identify, from a surgical event, an output surgical procedure. The tool management system can comprise a maneuvering mechanism to maneuver a surgical tool in at least two dimensions; and a controller to control at least one of activation and deactivation of a surgical tool and articulation of a surgical tool. The indicating means can indicate a surgical event selected from movement of a moving element and presence of an item of interest, where movement is determinable if the current 3D position of the moving element is substantially different from a previous 3D position of the same.

Motion evaluation system, motion evaluation device, and motion evaluation method

To be capable of efficiently transmitting appropriate information on the motion improvement to a person in motion. A motion evaluation system includes a sensor unit, an information processing device, and an information presentation device. The information processing device includes a communication device, a storage device, and an arithmetic device. The arithmetic device acquires motion data acquired by observing a user through the use of a sensor via the communication device, checks the motion data against information about the correctness of motions in the reference information, determines a state of motion of the user, specifies a motion in a state to be improved as an improvement, check the motion data after the motion corresponding to the improvement against information about busy levels of the user to specify a busy level of the user, and outputs, as improvement suggestion information about the improvement, information with different contents at each of multiple times to an information presentation device based on the improvement and a rule predetermined according to each situation of the busy level.