Systems and methods described herein include disparate textiles integrated with fixtures or objects within a workspace. The respective disparate textiles may be interconnected via electrical interconnection busses and may include electrical, mechanical, or electro-mechanical structures for sensing data associated with workspace users. The systems may provide, based on the sensed data, actuator output to one or more disparate textiles for personalizing or altering the workspace environment.

A pillow has an independent-supporting structure, a headrest cushion, and a supporting cushion. The independent-supporting structure has a supporting plate. The supporting plate has multiple supporting elements disposed at intervals. Each one of the multiple supporting elements is elongated and is able to be independently pressed, to independently restore, and to be independently deformed. The multiple supporting elements are parallelly disposed and apart from one another. The headrest cushion is resilient and is supported by the supporting plate for supporting a head of a human. The supporting cushion is resilient and is disposed below the multiple supporting elements for supporting. When a user rests his head on the pillow, each supporting element is deformed independently to provide independent support to the cervical spine of the user.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

Embodiments regard nutrition assessment using a handheld device. An embodiment of an apparatus includes a handle with a controller within the handle, an attachment arm extending from the handle, and a user-assistive device coupled with an end of the attachment arm, wherein the apparatus is to determine a mass held by the user-assistive device, the determination being made during a task by a user of the handheld tool including manipulation of the handheld tool.

An embodiment of the invention provides a method and system including a sensor on a vehicle and a processor connected to the sensor. The processor determines a probability of falling based on input from the sensor, whether the probability of falling exceeds a threshold, and a state of an operator of the vehicle. An actuator connected to the processor receives a signal from the processor when the probability of falling exceeds the threshold and when the state of the operator includes an impaired state. Stabilizer wheels are connected to the actuator, where the signal includes a command to deploy the stabilizer wheels.

A method and an apparatus include a display, an iris scanning sensor, and a processor functionally coupled with the display, and the iris scanning sensor, wherein the processor activates the iris scanning sensor when receiving a display-on event in a display-off state that is an intended user input.

An oximeter probe includes a probe unit or a base unit and a probe tip where the probe tip has a number of sources and detectors that can be accessed individually or in differing combinations for measuring tissue oxygen saturation at different tissue depth in tissue. A processor of the oximeter probe controls a multiplexer that is coupled to the detectors for selectively collecting measurement information from the detectors via the multiplexer. The oximeter probe is user programmable via one or more input devices on the oximeter probe for selecting the particular sources and detectors to collect measurement information from by the processor.

In accordance with one embodiment, an automated probe system includes a probe configured to be reversibly inserted into a live body part, a robotic arm attached to the probe and configured to manipulate the probe, a first sensor configured to track movement of the probe during an insertion and a reinsertion of the probe in the live body part, a second sensor configured to track movement of the live body part, and a controller configured to calculate an insertion path of the probe in the live body part based on the tracked movement of the probe during the insertion, and calculate a reinsertion path of the probe based on the calculated insertion path while compensating for the tracked movement of the live body part, and send control commands to the robotic arm to reinsert the probe in the live body part according to the calculated reinsertion path.

An aircraft passenger suite (100) is provided. The suite (100) comprises an aircraft seat (110) for use by a passenger. The suite (100) also comprises a controller for controlling a number of output states (240) of the suite, the controller comprising a logic condition receiver operable to receive a logic condition input (210). The suite (100) also comprises sensor equipment operable to provide a sensor input (220) to the controller, the sensor input (220) providing an indication of at least one attribute of a passenger of the suite (100). The sensor equipment comprises one or more of: an image sensor (151, 152) a pressure sensor (154) and a physiological sensor. The controller is configured to control at least one of the output states (240) of the suite based on both the logic condition input (210) and the sensor input (220).

A device for gathering vital sign and other heath indicator data. The device is constructed to register with a person’s anatomical structure in a predictable fashion, and to include integrated sensors positioned to register with specific anatomical portions of the person. Accordingly, relevant data and assessment may be performed passively, e.g., during physical contact/engagement of the patient with the sensors of the device, which may be for, example, a chair or other piece of furniture in which the patient may sit. The device may analyze gathered sensor data and draw clinical assessment conclusions. Data analysis may be done at the device, or remotely. Vital sign/data and/or assessment conclusions may be displayed to the caregiver only, e.g., via a display device or via an EHR or other computing system receiving data from the device. A separate display screen may display information to the patient for entertainment or instructive purposes.