Abstract:
Disclosed herein is an accurate and efficient, yet non-obtrusive system and method (using same) for detecting interpersonal touch, such as a high-five, which is prevalent in people's daily lives, so as to promote everyday interactions at diverse settings. Based on ubiquitous computing technology, one embodiment of the system for detecting interpersonal touch comprises a pre-motion filter for filtering a pre-motion prior to the interpersonal touch, a sensor for sensing electrical properties of skin, an evaluator for analyzing and determining the interpersonal touch based on the pre-motion and the electrical properties of skin, and a communicator for communicating information analyzed by the evaluator. Other embodiments are described and shown.
Abstract:
Disclosed herein is an accurate and efficient, yet non-obtrusive system and method (using same) for detecting interpersonal touch, such as a high-five, which is prevalent in people's daily lives, so as to promote everyday interactions at diverse settings. Based on ubiquitous computing technology, one embodiment of the system for detecting interpersonal touch comprises a pre-motion filter for filtering a pre-motion prior to the interpersonal touch, a sensor for sensing electrical properties of skin, an evaluator for analyzing and determining the interpersonal touch based on the pre-motion and the electrical properties of skin, and a communicator for communicating information analyzed by the evaluator. Other embodiments are described and shown.
Abstract:
Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.
Abstract:
Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.