@inProceedings{
 title = {Detecting Mastication: A Wearable Approach},
 type = {inProceedings},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {auracle,cs200,imu,intake-detection},
 websites = {http://dx.doi.org/10.1145/2818346.2820767},
 id = {292825ad-1255-397d-9cd1-2ac388dca3a0},
 created = {2018-07-12T21:31:41.042Z},
 file_attached = {false},
 profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},
 group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},
 last_modified = {2018-07-12T21:31:41.042Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {bedri:detectMas},
 source_type = {inproceedings},
 private_publication = {false},
 abstract = {We explore using the Outer Ear Interface (OEI) to recognize eating activities. OEI contains a 3D gyroscope and a set of proximity sensors encapsulated in an off-the-shelf earpiece to monitor jaw movement by measuring ear canal deformation. In a laboratory setting with 20 participants, OEI could distinguish eating from other activities, such as walking, talking, and silently reading, with over 90% accuracy (user independent). In a second study, six subjects wore the system for 6 hours each while performing their normal daily activities. OEI correctly classified five minute segments of time as eating or non-eating with 93% accuracy (user dependent).},
 bibtype = {inProceedings},
 author = {Bedri, Abdelkareem and Verlekar, Apoorva and Thomaz, Edison and Avva, Valerie and Starner, Thad},
 booktitle = {Proceedings of the ACM on International Conference on Multimodal Interaction}
}

{"_id":"2ZEjvqeQE7PP9ouC2","bibbaseid":"bedri-verlekar-thomaz-avva-starner-detectingmasticationawearableapproach-2015","downloads":0,"creationDate":"2019-02-15T15:14:59.648Z","title":"Detecting Mastication: A Wearable Approach","author_short":["Bedri, A.","Verlekar, A.","Thomaz, E.","Avva, V.","Starner, T."],"year":2015,"bibtype":"inProceedings","biburl":null,"bibdata":{"title":"Detecting Mastication: A Wearable Approach","type":"inProceedings","year":"2015","identifiers":"[object Object]","keywords":"auracle,cs200,imu,intake-detection","websites":"http://dx.doi.org/10.1145/2818346.2820767","id":"292825ad-1255-397d-9cd1-2ac388dca3a0","created":"2018-07-12T21:31:41.042Z","file_attached":false,"profile_id":"f954d000-ce94-3da6-bd26-b983145a920f","group_id":"b0b145a3-980e-3ad7-a16f-c93918c606ed","last_modified":"2018-07-12T21:31:41.042Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"bedri:detectMas","source_type":"inproceedings","private_publication":false,"abstract":"We explore using the Outer Ear Interface (OEI) to recognize eating activities. OEI contains a 3D gyroscope and a set of proximity sensors encapsulated in an off-the-shelf earpiece to monitor jaw movement by measuring ear canal deformation. In a laboratory setting with 20 participants, OEI could distinguish eating from other activities, such as walking, talking, and silently reading, with over 90% accuracy (user independent). In a second study, six subjects wore the system for 6 hours each while performing their normal daily activities. OEI correctly classified five minute segments of time as eating or non-eating with 93% accuracy (user dependent).","bibtype":"inProceedings","author":"Bedri, Abdelkareem and Verlekar, Apoorva and Thomaz, Edison and Avva, Valerie and Starner, Thad","booktitle":"Proceedings of the ACM on International Conference on Multimodal Interaction","bibtex":"@inProceedings{\n title = {Detecting Mastication: A Wearable Approach},\n type = {inProceedings},\n year = {2015},\n identifiers = {[object Object]},\n keywords = {auracle,cs200,imu,intake-detection},\n websites = {http://dx.doi.org/10.1145/2818346.2820767},\n id = {292825ad-1255-397d-9cd1-2ac388dca3a0},\n created = {2018-07-12T21:31:41.042Z},\n file_attached = {false},\n profile_id = {f954d000-ce94-3da6-bd26-b983145a920f},\n group_id = {b0b145a3-980e-3ad7-a16f-c93918c606ed},\n last_modified = {2018-07-12T21:31:41.042Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {bedri:detectMas},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {We explore using the Outer Ear Interface (OEI) to recognize eating activities. OEI contains a 3D gyroscope and a set of proximity sensors encapsulated in an off-the-shelf earpiece to monitor jaw movement by measuring ear canal deformation. In a laboratory setting with 20 participants, OEI could distinguish eating from other activities, such as walking, talking, and silently reading, with over 90% accuracy (user independent). In a second study, six subjects wore the system for 6 hours each while performing their normal daily activities. OEI correctly classified five minute segments of time as eating or non-eating with 93% accuracy (user dependent).},\n bibtype = {inProceedings},\n author = {Bedri, Abdelkareem and Verlekar, Apoorva and Thomaz, Edison and Avva, Valerie and Starner, Thad},\n booktitle = {Proceedings of the ACM on International Conference on Multimodal Interaction}\n}","author_short":["Bedri, A.","Verlekar, A.","Thomaz, E.","Avva, V.","Starner, T."],"urls":{"Website":"http://dx.doi.org/10.1145/2818346.2820767"},"bibbaseid":"bedri-verlekar-thomaz-avva-starner-detectingmasticationawearableapproach-2015","role":"author","keyword":["auracle","cs200","imu","intake-detection"],"downloads":0},"search_terms":["detecting","mastication","wearable","approach","bedri","verlekar","thomaz","avva","starner"],"keywords":["auracle","cs200","imu","intake-detection"],"authorIDs":[]}