Daikin Industries, Ltd.

Tokyo Institute of Technology

National Institute of Advanced Industrial Science and Technology

The Jikei University School of Medicine

Tottori University

Institute of Science Tokyo

Junichiro Arai

Yasunori Kotani

Taro Tomatsu

Yoshimi Ohgami

Takashi Gotou

Makoto Iwakame

Kenichi Hino

Tomoya Hirano

Takahiro Hirayama

Hideki Hashizume

Akira Matsubara

Sadayori Hoshina

Hideo Katayama

Takashi Ushida

Chiaki Okumura

Katsuhiko Machida

Yoshihisa Amano

Masahiro Tanaka

Masaru Ueki

Takayuki Ishiwata

Nobuaki Takeda

Koichi Kaneko

Katsutoshi Yokoyama

Hiroshi Matsumura

Shenghong Pu

Masashi Itakura

Hiroaki Ohdachi

Shinya Masuda

Katsuya Miura

Arina Hashimoto

An emission device includes an emission unit, and a controller. The emission unit emits a useful substance to a space where a target person is present. The controller controls the emission unit based on a circadian rhythm of the target person. The controller determines which one of a sympathetic nerve or a parasympathetic nerve is dominant in an autonomic nerve system of the target person, estimates the circadian rhythm of the target person in the autonomic nerve system from a result of the determination, determines a time to start emitting the useful substance based on the circadian rhythm estimated, and emits the useful substance from the emission unit when the time to start the emitting has come.

Emission device

A fatigue state determination device and a fatigue state determination method determine a fatigue state of a subject. The fatigue state determination device includes a brain-function activation information provision unit and a fatigue state determination unit. The brain-function activation information provision unit provides brain-function activation information in order to activate a human brain function of a subject. The fatigue state determination unit determines a fatigue state of the subject based on facial-surface change information indicative of a time-series change of facial surface data on the subject while the brain-function activation information is being provided.

Fatigue state determination device and fatigue state determination method

A physiological state determination device determines a predetermined physiological state of a subject. The physiological state determination device includes a brain function activation information detection unit, a face change information acquisition unit, and a physiological state determination unit. The brain function activation information detection unit detects brain function activation information corresponding to a physiological state. The face change information acquisition unit acquires face change information indicating a time-series change in face data of a subject. The physiological state determination unit determines the predetermined physiological state of the subject based on the brain function activation information and the face change information.

Physiological state determination device

A determination result output device and a determination result output system output a determination result indicating various states of a subject, and a determination result provision device provides a determination result. A determination result output system includes a determination result output device that outputs a determination result indicating the state of a subject, and a determination result provision device that provides the determination result. When acquiring facial-surface change information related to a target purpose from the determination result output device, the determination result provision device generates determination information from facial-surface change information, determines a determination result including a state level of the subject, and sends the determination result to the determination result output device.

Determination result output device, determination result provision device, and determination result output system

A brain activity estimation device includes a brain activity estimation portion. The brain activity estimation portion includes a blood-circulation-amount calculating unit and an estimation unit. The blood-circulation-amount calculating unit is configured to calculate time-series blood-circulation-amount data on a facial surface of a human based on RGB data of photographed image data on the facial surface acquired in time series. The RGB data is obtained by conducting RGB processing on the photographed image data. The RGB processing includes decomposing the photographed image data into three color components composed of an R component, a G component and a B component. The estimation unit is configured to estimate brain activity of the human based on a plurality of decomposition components obtained by decomposing the blood-circulation-amount data by singular value decomposition, principal component analysis, or independent component analysis.

Brain activity estimation device

A mental illness determination device includes a face change information acquisition unit and a mental illness determination unit. The face change information acquisition unit is configured to acquire face change information indicating a time-series change in face data of a subject when emotional stimulation information for stimulating any sense or any combination of senses among an auditory sense, an olfactory sense, a gustatory sense, a tactile sense, and a somatic sensation of the subject to change emotion, and is divided into positive information for increasing comfort and negative information for decreasing comfort is provided to the subject. The mental illness determination unit is configured to determine a state of mental illness of the subject on the basis of the face change information.

Mental illness determination device

An estimation device includes at least one of a facial skin temperature acquisition unit and a facial photographic image acquisition unit, and an evaluation unit. The facial skin temperature acquisition unit acquires, in time-series, facial skin temperature data of a facial surface of a subject to which brain function activation information is provided. The facial photographic image acquisition unit obtains, in time-series, facial photographic image data obtained by imaging the facial surface of the subject to which the brain function activation information is provided. The evaluation unit evaluates a degree of interest of the subject based on at least one of the facial skin temperature data acquired by the facial skin temperature acquisition unit and the facial surface photographic image data acquired by the facial surface photographic image data acquisition unit.

Evaluation device, market research device, and learning evaluation device

A physiological state determination system includes a CPU and a camera. The camera acquires a photographic image data of a time-series change in facial data of a subject to which brain function activation information that activates human brain function was provided. The CPU determines a mental or physical physiological state of the subject based on facial change information corresponding to the photographic image data.

Physiological state determination device and physiological state determination method

A driver state determination device includes a facial change information acquisition unit acquiring facial change information indicating a time-series change in facial data of a subject, and a driver state determination unit determining the driver state of the subject based on the facial change information. The subject is selected from the group consisting of a subject driving a machine from when brain function activation information that activates human brain function is provided, a subject driving a machine from when the brain function activation information provided to the subject driving the machine is detected, and a subject performing a predetermined operation on a machine.

Driver state determination device and driver state determination method

A useful information presentation device includes a facial skin temperature acquisition unit and/or a blood circulation volume acquisition unit, a brain activity estimation unit, and a useful information presentation unit. The facial skin temperature acquisition unit acquires facial skin temperature data in time-series. The blood circulation volume acquisition unit acquires photographic image data by imaging the facial surface in time-series. The brain activity estimation unit decomposes the facial skin temperature data and/or the facial blood circulation volume data into a plurality of components by singular value decomposition, principal component analysis, or independent component analysis, and the brain activity estimation unit estimating brain activity of the subject based on the plurality of components. The useful information presentation unit presents, to the subject, useful information related to an emotional or physical state based on the brain activity of the subject estimated by the brain activity estimation unit.

Useful information presentation device

A brain activity estimation device includes a facial skin temperature acquisition element and a brain activity estimation element. The acquisition element detects a skin temperature of at least part of a human face, and acquires facial skin temperature data including detected temperature data and location data of a detection region in a time series manner. The estimation element estimates human brain activity based on the facial skin temperature data acquired. The estimation element decomposes the facial skin temperature data into a plurality of components, extracts a component as a determination component, and determines whether the determination component is related to the human brain activity based on a presence or absence of a temperature change in a prescribed region of the human face.

A sleeping state improvement system to improve a sleeping state of a user includes a memory device and a control device that comprises a specification unit and a control unit. The memory device can be carried by the user. The specification unit specifies individual attribute information of the user based on individual information. The individual information is information stored in the memory device. The control unit controls an environment during sleep of the user based on the individual attribute information.

Sleeping state improvement system and sleeping state improvement method

Disclosed herein is a method for determining the drug sensitivity of a microbe which comprises pouring a microbial suspension into each of the compartments or wells at a position which is in the vicinity of an electrode for measuring dissolved oxygen concentration, measuring current from each electrode at a second time interval for a third time period, each time is obtained based upon each of the measured currents at which the maximum current is obtained, obtaining each current value within a fourth time period which starts from the time at which the maximum current is obtained, detecting drug sensitivity based upon the variation condition of each current value during the fourth time period. The method allows rapid drug susceptibility measurements.

Drug sensitivity measuring method

A method and apparatus wherein measurement current values output from a first oxygen sensor and a second oxygen sensor are time sequentially measured. Each moving average value is calculated from each sequential measurement current value. Each time differential value is calculated from the pair of each calculated moving average values, by least squares approximation. Then, drug susceptibility is measured based upon each calculated time differential value, so that drug the susceptibility measurement is performed quickly or accurately.

Growing community of inventors

Osaka, Japan

Junichiro Arai