Respiration-vocalization data collection system for air quality determination

A computer-implemented method comprising:

• receiving data comprising respiration-vocalization state information and a first location property associated with a local monitoring device of a user;
• in response to receiving the data, storing, in a data storage system, at least one record corresponding to the data;
• accessing environmental quality data pertaining to a predetermined location in proximity to the user;
• accessing known sensitivities data comprising information associated with other users with known irritant sensitivities and a second location property;
• determining at least one statistical relationship value representative of a statistical relationship between the at least one record, the environmental quality data, and the known sensitivities data based on the first location property, the predetermined location, and the second location property via a data correlation engine, wherein the at least one statistical relationship value is associated with a confidence indication that is based at least in part on a proximity level associated with the first location property and the second location property;
• storing, in the data storage system, the at least one statistical relationship value in association with the at least one record;
• wherein the respiration-vocalization state information comprises voice quality information associated with a sample of speech input of the user received at a microphone of the local monitoring device to create baseline data of the user's voice;
• automatically activating a respiration-vocalization data acquisition system whenever the user employs his voice to interact with the local monitoring device;
• periodically sampling the speech input in order to determine a shift in the voice quality above a threshold level;
• and
• triggering an indicator, based on the determination that the shift in the voice quality is above the threshold level and based on the stored baseline data of the user's voice, wherein the baseline data includes at least one of tone, frequency and shift of the user's voice, wherein the indicator alerts the local monitoring device of the user of an impending illness.

An apparatus comprising at least one processor and at least one non-transitory memory comprising program code, the at least one non-transitory memory and the program code configured to, with the at least one processor, cause the apparatus to at least:

• receive data comprising respiration-vocalization state information and a first location property associated with a local monitoring device of a user;
• in response to receiving the data, store, in a data storage system, at least one record corresponding to the data;
• access environmental quality data pertaining to a predetermined location in proximity to the user;
• access known sensitivities data comprising information associated with other users with known irritant sensitivities and a second location property;
• determine at least one statistical relationship value representative of a statistical relationship between the at least one record, the environmental quality data, and the known sensitivities data based on the first location property, the predetermined location, and the second location property via a data correlation engine, wherein the at least one statistical relationship value is associated with a confidence indication that is based at least in part on a proximity level associated with the first location property and the second location property;
• store, in the data storage system, the at least one statistical relationship value in association with the at least one record;
• wherein the respiration-vocalization state information comprises voice quality information associated with a sample of speech input of the user received at a microphone of the local monitoring device to create baseline data of the user's voice;
• automatically activate a respiration-vocalization data acquisition system whenever the user employs his voice to interact with the local monitoring device;
• periodically sampling the speech input in order to determine a shift in the voice quality above a threshold level;
• and
• triggering an indicator, based on the determination that the shift in the voice quality is above the threshold level and based on the stored baseline data of the user's voice, wherein the baseline data includes at least one of tone, frequency and shift of the user's voice, wherein the indicator alerts the local monitoring device of the user of an impending illness.