OUHANDS database for hand detection and pose recognition

Abstract In this paper we propose a publicly available static hand pose database called OUHANDS and protocols for training and evaluating hand pose classification and hand detection methods. A comparison between the OUHANDS database and existing databases is given. Baseline results for both of the protocols are presented

Going beyond what is visible:what multichannel data can reveal about interaction in the context of collaborative learning?

Abstract Progress in the development of technology has provided data-capturing devices that make it possible to identify detailed processes in collaborative learning. This study utilized multichannel data, namely physiological data, video observations, and facial recognition data, to explore what they can reveal about types of interaction and regulation of learning during different phases of collaborative learning progress. Participants were five groups of three members each, selected for further study from an initial set of 48 students. The collaborative task was to design a healthy breakfast for an athlete. Empatica sensors were used to capture episodes of simultaneous arousal, and video observations were used to contextualize working phases and types of interaction. Facial expression data were created by post-processing video-recorded data. The results show that simultaneous arousal episodes occurred throughout phases of collaborative learning and the learners presented the most negative facial expressions during the simultaneous arousal episodes. Most of the collaborative interaction during simultaneous arousal was low-level, and regulated learning was not observable. However, when the interaction was high-level, markers of regulated learning were present; when the interaction was confused, it included monitoring activities. This study represents an advance in testing new methods for the objective measurement of social interaction and regulated learning in collaborative contexts

Sources of dietary gluten in the first 2 years of life and associations with celiac disease autoimmunity and celiac disease in Swedish genetically predisposed children : The Environmental Determinants of Diabetes in the Young (TEDDY) study

Background High gluten intake is associated with increased risk of celiac disease (CD) in children at genetic risk. Objectives We aimed to investigate if different dietary gluten sources up to age 2 y confer different risks of celiac disease autoimmunity (CDA) and CD in children at genetic risk. Methods Three-day food records were collected at ages 6, 9, 12, 18, and 24 mo from 2088 Swedish genetically at-risk children participating in a 15-y follow-up cohort study on type 1 diabetes and CD. Screening for CD was performed with tissue transglutaminase autoantibodies (tTGA). The primary outcome was CDA, defined as persistent tTGA positivity. The secondary outcome was CD, defined as having a biopsy specimen showing Marsh score >= 2 or an averaged tTGA level >= 100 Units. Cox regression adjusted for total gluten intake estimated HRs with 95% CIs for daily intake of gluten sources. Results During follow-up, 487 (23.3%) children developed CDA and 242 (11.6%) developed CD. Daily intake of 18.3 g) at age 12 mo was associated with increased risk of both CDA (HR: 1.47; 95% CI: 1.05, 2.05; P = 0.023) and CD (HR: 1.79; 95% CI: 1.10, 2.91; P = 0.019) compared with no intake. At age 18 mo, milk cereal drink was associated with an increased risk of CD (HR: 1.16; 95% CI: 1.00, 1.33; P = 0.047) per 200-g/d increased intake. No association was found for other gluten sources up to age 24 mo and risk of CDA or CD. Conclusions High daily intakes of bread at age 12 mo and of milk cereal drink during the second year of life are associated with increased risk of both CDA and CD in genetically at-risk children.Peer reviewe