The present invention relates to the technical field of emotion sensing, and in particular, relates to an emotion sensing smart terminal and a sensing method thereof. The emotion sensing smart terminal includes: a processing chip, a measuring electrode unit and a human body physiological parameter measuring circuit, wherein the processing chip and the human body physiological parameter measuring circuit are respectively arranged in the smart terminal, the measuring electrode unit is arranged on a housing of the smart terminal, the measuring electrode unit is configured for being in contact with a human body, the human body physiological parameter measuring circuit is configured to calculate a human body physiological parameter using the measuring electrode unit, and the processing chip is configured to analyze the human body physiological parameter to obtain a current emotion state of the human body.

A sensor device is described herein. The sensor device includes a multi-dimensional optical sensor and processing circuitry, wherein the multi-dimensional optical sensor generates images and the processing circuitry is configured to output data that is indicative of hemodynamics of a user based upon the images. The sensor device is non-invasive, and is able to be incorporated into wearable devices, thereby allowing for continuous output of the data that is indicative of the hemodynamics of the user.

This application relates to earbuds configured with one or more biometric sensors. At least one of the biometric sensors is configured to be pressed up against a portion of the tragus for making biometric measurements. In some embodiments, the housing of the earbud can be symmetric so that the earbud can be worn interchangeably in either a left or a right ear of a user. In such an embodiment, the earbud can include a sensor and circuitry configured to determine and alter operation of the earbud in accordance to which ear the earbud is determined to be sitting in.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

Embodiments include method, systems and computer program products for reducing surface reflectance, for example in a photograph. Aspects include receiving an image set containing a plurality of images of an object. Aspects also include determining geometric transformations for the images and constructing a panorama of the object from the images using the geometric transformations. Aspects also include replacing a portion in the panorama with a corresponding replacement portion from the image set.

A method and user device for determining a unified Parkinson's disease rating scale (UPDRS) value associated with a user of the user device include obtaining video data associated with a movement of a body part of the user. The UPDRS value is determined using a model and the video data associated with the movement of the body part of the user. The UPDRS value is provided to permit an evaluation of the user based on the UPDRS value.

A wearable device includes a testing portion, the testing portion includes receiving space, a bottom surface defining an opening, an opposite top surface, and a first side surface defining a slot. A white light source is received in the receiving space. A wearable portion of the device is secured to the testing portion and the wearable portion can be placed around a terminal device comprising a camera. The opening faces the camera when the wearable portion is around the terminal device, allowing the camera to capture a standard image of the white light, and capture a wet image of a test paper imbued with user bio-matter when the test paper is inserted into the slot. A biological information of the user, as an indicator of health, is calculated according to a color comparison between the wet image and the standard image.

Assistance may be provided to a first user of a first device by monitoring sensors of the first device and providing assistance via a character presented by the device. Sensor data, such as audio, video, or biometric data, may be transmitted to a server, and a server may process the sensor data to determine a state of the first user. The server may determine to request assistance based on the state of the first user. The server may then send a request to a second device of a second user to guide the character presented by the first device. The second user may then provide assistance to the first user by guiding the character presented by the first device.

A method and an apparatus to remove a noise from an electrocardiography (ECG) sensor signal are provided. A noise removing method includes: receiving a sensor signal collected by an electrocardiography (ECG) sensor; extracting an ECG estimation signal from the sensor signal based on a peak value of the sensor signal; determining a first comparison value between the ECG estimation signal and a first reference signal indicating an average form of ECG signals; and classifying the ECG estimation signal as one of an ECG signal and a noise by comparing the first comparison value to a first threshold value.

An apparatus for estimating bio-information includes: a sensor part configured to obtain contact pressure of a contact surface contacted by an object, and configured to obtain a contact image of the object that contacts the contact surface; and a processor configured to obtain a pulse wave signal of a region of interest based on the contact image, and configured to estimate bio-information based on the obtained pulse wave signal and the contact pressure.