Abstract: Techniques for reprioritizing waitlisted callers using biometric feedback. A biometric aspect of a calling user is monitored in real time via a sensor. A digital output characterizing an emotional state of the user is generated. The digital output is encoded and transmitted to a server via multi-frequency signaling. The server decodes the digital output and reprioritizes the calling user relative to other calling users in the waitlist, in order to expedite the calling user being serviced.

Abstract: A computer-implemented method, according to one embodiment, includes: collecting information which corresponds to internet browsing activity, receiving a request to create a bookmark for a first website, and creating keyword and density pairs (KDPs) for the first website using the information collected prior to receiving the request to create the bookmark. Creating the KDPs includes: extracting a plurality of keywords from the first website, and calculating a density value for each of the plurality of keywords based on the information collected prior to receiving the request to create the bookmark. Furthermore, each keyword and respective density value are added to a hash map as a KDP entry. Other systems, methods, and computer program products are described in additional embodiments.

Abstract: A computer-implemented method according to one embodiment includes receiving voice input, parsing the voice input for determining words in the voice input, recognizing at least some of the words, identifying an accent of a speaker of the voice input, evaluating a word accent of at least some of the recognized words based on the identified accent of the speaker and analysis of the recognized words, generating an evaluated accent score for each of the at least some of the recognized words based on the evaluated word accent, identifying at least one of the recognized words as an accent word based on the evaluated accent score thereof, and outputting a recommended correct pronunciation of the accent word or words. In one approach, a score of the identified accent word is updated in a personal accent word list of the speaker using the evaluated accent score.

Abstract: A computer-implemented method according to one embodiment includes receiving voice input, parsing the voice input for determining words in the voice input, recognizing at least some of the words, identifying an accent of a speaker of the voice input, evaluating a word accent of at least some of the recognized words based on the identified accent of the speaker and analysis of the recognized words, generating an evaluated accent score for each of the at least some of the recognized words based on the evaluated word accent, identifying at least one of the recognized words as an accent word based on the evaluated accent score thereof, and outputting a recommended correct pronunciation of the accent word or words.

Abstract: A computer-implemented method according to one embodiment includes receiving voice input, parsing the voice input for determining words in the voice input, recognizing at least some of the words, identifying an accent of a speaker of the voice input, evaluating a word accent of at least some of the recognized words based on the identified accent of the speaker and analysis of the recognized words, generating an evaluated accent score for each of the at least some of the recognized words based on the evaluated word accent, identifying at least one of the recognized words as an accent word based on the evaluated accent score thereof, and outputting a recommended correct pronunciation of the accent word or words.

Abstract: Approaches presented herein enable performing an oral health diagnosis of a user using an oral monitoring device fixed in the oral cavity. Specifically, an oral monitoring device collects jaw movement data as a user goes about daily living. An oral healthcare analysis is performed comparing current measurement data against abnormality classifications to identify abnormal jaw movement. If an abnormality is identified, an oral healthcare professional can be notified.

Abstract: Approaches presented herein enable cognitive oral health management. Specifically, data from at least one internet of things (IoT) sensor and data from at least one visual image sensor are collected over time for a user via one or more sensors operatively coupled with one or more personal daily oral care devices as the user is performing a periodic oral care activity with the one or more personal daily oral care devices. Collected data are subjected to cognitive diagnostics to identify abnormalities in a user's oral healthcare regimen and physiological abnormalities within the oral cavity by categorizing data. A report for a medical professional may be generated providing recommendation of potential diagnoses and treatment options.

Abstract: Approaches presented herein enable performing an oral health diagnosis of a user using an oral monitoring device fixed in the oral cavity. Specifically, an oral monitoring device collects jaw movement data as a user goes about daily living. An oral healthcare analysis is performed comparing current measurement data against abnormality classifications to identify abnormal jaw movement. If an abnormality is identified, an oral healthcare professional can be notified.

Abstract: Approaches presented herein enable cognitive oral health management. Specifically, data from at least one internet of things (IoT) sensor and data from at least one visual image sensor are collected over time for a user via one or more sensors operatively coupled with one or more personal daily oral care devices as the user is performing a periodic oral care activity with the one or more personal daily oral care devices. Collected data are subjected to cognitive diagnostics to identify abnormalities in a user's oral healthcare regimen and physiological abnormalities within the oral cavity by categorizing data. A report for a medical professional may be generated providing recommendation of potential diagnoses and treatment options.