Abstract: A customizable respiratory protection device, including a mouth portion, including a mouth body to cover a mouth and a nose of a user, a filter receiving portion disposed on at least a portion of a rear surface of the mouth body to store an air filter therein, and an aperture disposed on an end of the filter receiving portion to receive the air filter therethrough, an attachment portion to cover eyes and a forehead of the user; and at least one fastener removably disposed on at least a portion of the mouth body to receive the attachment portion thereon, such that the attachment portion connects to the mouth body.

Abstract: Techniques for multidevice, multimodal emotion services monitoring are disclosed. An expression to be detected is determined. The expression relates to a cognitive state of an individual. Input on the cognitive state of the individual is obtained using a device local to the individual. Monitoring for the expression is performed. The monitoring uses a background process on a device remote from the individual. An occurrence of the expression is identified. The identification is performed by the background process. Notification that the expression was identified is provided. The notification is provided from the background process to a device distinct from the device running the background process. The expression is defined as a multimodal expression. The multimodal expression includes image data and audio data from the individual. The notification enables emotion services to be provided. The emotion services augment messaging, social media, and automated help applications.

Abstract: Techniques for multidevice, multimodal emotion services monitoring are disclosed. An expression to be detected is determined. The expression relates to a cognitive state of an individual. Input on the cognitive state of the individual is obtained using a device local to the individual. Monitoring for the expression is performed. The monitoring uses a background process on a device remote from the individual. An occurrence of the expression is identified. The identification is performed by the background process. Notification that the expression was identified is provided. The notification is provided from the background process to a device distinct from the device running the background process. The expression is defined as a multimodal expression. The multimodal expression includes image data and audio data from the individual. The notification enables emotion services to be provided. The emotion services augment messaging, social media, and automated help applications.

Abstract: Mental state data is gathered from a plurality of people and analyzed in order to determine mental state information. Metrics are generated based on the mental state information gathered as the people view media presentations. Norms, defined as the quantitative measures of the mental states of a plurality of people as they view the media presentation, are determined based on the mental state information metrics. The norms can be determined based on various viewer criteria including country of residence, demographic group, or device type on which the media presentation is viewed. Responses to new media are then compared against norms to determine the effectiveness of the new media presentations.

Abstract: Expression analysis is performed via a background process and provided to foreground applications that register for emotion services. The foreground services are provided notification when a particular, previously determined emotional state is detected. The emotional state can be identified using facial feature analysis and/or gesture analysis. Upon receiving the notification of the state from the background process, the foreground services perform an emotion response action. The emotion response action can include sending a reply message indicating that a desired emotional response has been detected, providing a reward, and/or generating an automatic like on a social media system.

Abstract: Expression analysis is performed in response to a request for an expression. The expression is related to one or more mental states. The mental states include happiness, joy, satisfaction, and pleasure, among others. Images from one or more cameras capturing a user's attempt to provide the requested expression are received and analyzed. The analyzed images serve to gauge the response of the person to the request. Based on the response of the person to the request, the person can be rewarded for the effectiveness of his or her mental state expression. The intensity of the expression can also be used as a factor in determining the reward. The reward can include, but is not limited to, a coupon, digital coupon, currency, or virtual currency.

Abstract: Mental state data is gathered from a plurality of people and analyzed in order to determine mental state information. Metrics are generated based on the mental state information gathered as the people view media presentations. Norms, defined as the quantitative measures of the mental states of a plurality of people as they view the media presentation, are determined based on the mental state information metrics. The norms can be determined based on various viewer criteria including country of residence, demographic group, or device type on which the media presentation is viewed. Responses to new media are then compared against norms to determine the effectiveness of the new media presentations.