662results about How to "Protect personal privacy" patented technology

The invention discloses a self-service room reservation method and system based on a mobile device. The method comprises the following steps that a room reservation terminal of the mobile device displays the positions of all hotels or guesthouses or apartments or rental house hosting centers having unoccupied rooms according to needs of a client in a map mode; after the client selects the needed hotel or the guesthouse or apartment or rental house hosting center on the map, selects a room and accommodation time and fills in client information, the room reservation terminal uploads the information to a room reservation server; the room reservation server extracts identity information and uploads the identity information to a public security system; the public security system verifies the identity information, judges whether the identity information is correct or not and feeds a verification result back to the room reservation server, and if the identity information is correct, the room reservation terminal reminds the client to carry out payment operation; if the identity information is incorrect, the client needs to submit the identity information again. According to the self-service room reservation method and system based on the mobile device, the client can reserve the room, rent the room and check in through self-service completely, reception services are avoided, the information is verified through the public security system, safety and high efficiency are achieved, and management is convenient.

Described herein are systems and methods for automatically detecting a behavior of a monitored individual, for example, that the individual has fallen. In certain embodiments, a system is presented that includes one energy sensor (e.g., a camera of a mobile electronic device) configured to capture reflected energy (e.g., light) within a field-of view; an optional lens to modify the distance or angular range of the field-of-view; and an optional image obfuscator to blur or distort the images received by the energy sensor, thereby preserving privacy. Techniques are described for determining spatial measurements and body measurements from the images and using these measurements to identify a behavior of the monitored individual, for example, a fall.

The disclosed technology enables, among other things, the identification of persons and the characterization of mental perceptions (e.g., pain, fatigue, mood) and/or intent (e.g., to perform an action) for medical, safety, home care, and other purposes. Of significance are applications that require long-term patient monitoring, such as tracking disease progression (e.g., multiple sclerosis), or monitoring treatment or rehabilitation efficacy. Therefore, longitudinal data must be acquired over time for the person's identity and other characteristics (e.g., pain level, usage of a cane). However, conventional methods of person identification (e.g., photography) acquire unnecessary personal information, resulting in privacy concerns. The disclosed technology allows measurements to be performed while protecting privacy and functions with partial or incomplete measurements, making it robust to real-world (noisy, uncontrolled) settings, such as in a person's home (whether living alone or with others).

The invention discloses a fall-down behavior real-time detection method based on a depth image. The method comprises steps of depth image obtainment, human body image identification, depth difference feature extraction, human body part analysis, articulation point extraction, height feature extraction and fall-down behavior detection. Based on a depth image, a specific depth difference feature is selected on an identified human body image; a random forest classifier is used for analyzing human body parts; a human body is divided into a head part and a trunk part; articulation points are detected, and then a height feature vector is extracted; and a support vector machine classifier is used for detecting whether a detected object is in fall-down state. The invention provides the fall-down behavior detection method, improves the operation speed, and achieves timeliness of fall-down behavior detection. The depth image is utilized for fall-down behavior detection. On one hand, the method is free of influences of illumination and can be operated in an all-weather manner, and on the other hand, personal privacy can be protected compared with a colorful image. Only one depth sensor is required in terms of hardware support, and the advantage of low cost is achieved.

The invention provides an isolation protection system and an isolation protection method of private data in a mobile phone, which belongs to the field of mobile communication and information security. The system comprises a privacy storage area, an ordinary storage area, a setting module, an analysis judging module and a processing module, wherein the privacy storage area is used for storing the private data to be isolated and protected; data in the privacy storage area is stored in an encryption manner; the ordinary storage area is used for storing non-isolated protection data; the setting module is used for setting an identity authentication way and selecting private data needing to be stored into the privacy storage area; the analysis judging module is used for monitoring a system event in real time, when a data writing request is received, the analysis judging module judges whether the data writing request is the private data to be isolated and protected or not and transmits the judgment result to the processing module; when a private data access request is received, the identity authentication is carried out on a user according to the set identity authentication way; the processing module is used for encrypting the data when the judgment result of the analysis judging module is the data writing request and is the private data to be isolated and protected and transmitting a writing request to the storage module.

The invention discloses a smart home old age support video monitoring abnormal behavior system and method, and belongs to the technical field of mode identification and computer vision. The monitoring system provided by the invention comprises a double-lens monitoring camera, a video processing node and a communication center. According to the system, the indoor activity condition can be monitored in real time through the double-lens monitoring camera; an abnormal behavior is processed through the video processing node; whether there is an abnormal behavior activity or not is detected by taking face expressions as auxiliary identification; and abnormal behavior alarm information is sent to a user through the communication center. According to the system and the method, the body activity state can be monitored in real time, and alarm is generated when there is the abnormal condition. The system and the method have the advantages of wide application range, high security and stable and reliable identification.

The invention discloses an NFC mobile phone payment terminal, a payment method and a system. The invention is designed to solve the problems that the prior mobile phone payment mode is troubled in operation and easy to go wrong; the system comprises a mobile phone terminal of a paying party, a mobile phone terminal of a paid party and a bank mobile payment server; the mobile phone terminal of the paid party is used for sending a payment request to the mobile phone terminal of the paying party by an NFC signal; and the mobile phone terminal of the paying party is used for receiving the payment request and sending a payment command to the bank mobile payment server according to the payment request; the bank mobile payment server receives the payment request, processes relevant financial information and sends an operation result to the mobile phone terminal of the paid party and the mobile phone terminal of the paying party. The NFC mobile phone payment terminal, the payment method and the system are suitable for consumption settlement between a consumer and a merchant and payment transfer among individuals.

The invention discloses a privacy protecting method for a social network based on undirected graph modification. The method comprises the following steps: (1) establishing an undirected graph of the social network; (2) digging the maximum frequent subgraph; (3) establishing a node mapping relation; (4) iteratively expanding the subgraph and improving the mapping table; and (6) forming an anonymity isomorphic graph by adding mapping lines and virtual nodes to the undirected graph. According to the method, the virtual nodes are added, so that each node has other nodes symmetrical thereto, so that re-positioning of user identity is avoided, and personal privacy safety of the user is effectively protected. In addition, the local structure of the social network is finely modified, social network graph data can be externally and safely issued, so that the method is suitable for researching characteristic analysis and statistics of the local structure of the social network, and promotes data digging technology in research and application in the field of social network.

The invention relates to a system for realizing smart card authentication based on voiceprint recognition. The system comprises an authentication client and an authentication server, wherein the authentication client comprises a voiceprint sample acquisition module, a voiceprint feature extraction module and an NFC (near field communication) module; the authentication server comprises a server communicating module and a voiceprint feature matching module; the server communicating module is used for receiving authentication request information sent by the authentication client and judging the validity of the authentication request and returning to an authentication result. The invention further relates to a method for realizing the smart card authentication based on the voiceprint recognition. With the adoption of the structure of the system and the method for realizing the smart card authentication based on the voiceprint recognition, related information on a smart card can be read through an NFC function, the irreplaceable, anti-theft and anti-lost characteristics of a voiceprint are used, the authentication can be guaranteed to be finished effectively, and a wider application range is provided.

The invention discloses a method, a device and an electronic device for obtaining and feeding back user resources. The method for obtaining user resources can send an authorization request for obtaining access rights of preset resources of the target user to a target user. The preset resources are stored in a resource server of a preset social application. Authorization credentials fed back by thetarget user are received after confirming the granting of the access right; it is applied for obtaining authorization information of the preset resources from an authentication server of the preset social application based on the authorization certificate, the authorization information comprises a token and an identity of the target user; the resource server is accessed to obtain the preset resource based on the token and the identity.

Embodiment of the invention provides a method for establishing businesses, comprising: a right editor obtains group ID of the business establisher from a group management server to set business access right information for the group ID; the business access right information is regarded as a part of the business description files and saved therein. The invention further provides a method and device for disposing businesses, and a device for establishing businesses. The business establisher may actively preset a right for business access by using embodiment of the invention, adapting a new demand with numerous business types and numerous business users presently, so that the system manager may release from complicated and enormous business right set works to improve efficiency of business issuing operation.

The invention belongs to the technical field of human body data identification, and discloses a human body action function detection system, a detection method and a detector. A data acquisition module adopts depth camera equipment to acquire a human body motion video; a skeleton node position acquisition module is used for establishing a simple human skeleton model for analysis and acquiring spatial coordinate data of human skeletons; a data calculation module is used for obtaining spatial data among the articulation points according to the depth positions of the coordinate points in the skeleton data; a posture library matching module is used for matching the spatial data with a posture library template obtained by performing machine learning on a large number of data samples; and a limbmovement recognition module is used for limb recognition. According to the invention, synchronous detection of motion data of multiple parts in functional action detection such as deep squatting by lifting hands, three-dimensional forward bending and lateral bending of a standing person is creatively realized, and quantification of functional action detection data is realized.

The invention provides a file locking method and belongs to the technical field of electronic equipment. The file locking method comprises the steps of obtaining biological feature recognition information of a current user, wherein the biological feature recognition information comprises fingerprint information or voice print information or iris information or facial information; locking a first specified file according to the biological feature recognition information of the current user. Because the specified file is locked according to the biological feature recognition information, pictures or videos can be hidden, personal privacy of the current user is effectively protected, and user experience is enhanced. In addition, users can select files for locking according to needs, so that use is very flexible. The invention further provides a file locking device.

The invention relates to the technical field of medical apparatuses, in particular to an intelligent control system for a nursing bed. The intelligent control system comprises a bed body controller for controlling motion of a bed body, an intelligent anus cleaner for controlling an intelligent closestool to work, and an intelligent detection module for detecting the motion state of the bed body of the nursing bed and the intelligent closestool; and the bed body controller, the intelligent anus cleaner and the intelligent detection module are fed-back and driven by virtue of an intelligent host. The intelligent control system disclosed by the invention is convenient to operate, and the intelligent control system has the capacities of achieving intelligent management and constant monitoring.

The invention provides a peep prevention method and device for a screen. The peep prevention method for the screen includes the steps that the current number of eyeballs with the sight lines falling into a corresponding area of the screen is acquired; whether the current number is larger than a preset number threshold value or not is judged, and the number threshold value represents the number of the eyeballs capable of watching the screen when the privacy is protected; if the current number is larger than the number threshold value, peep prevention reminding can be conducted. By the adoption of the mode, the ambient environment of a display terminal can be monitored, peep prevention reminding can be conducted when it is monitored that the content displayed by the screen of the display terminal is likely to be peeped, and therefore the personal privacy can be effectively protected.