Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: Examples described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Examples described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Embodiments described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Embodiments described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: A novel approach enables a new type of sensing—“in persona” sensing, for large scale testing of a media instance via distributed collection and centralized processing of physiological data from each of a large number of viewers in his/her own setting. The physiological data can first be collected from each of the viewers fitted with one or more physiological sensors locally at the place where he/she is watching the media instance. The data collected from the viewers at these distributed locations can then all be transmitted to a centralized location for processing, aggregation, storage, and analysis.