This survey article proposes the idea that advertising is the next major application for ubiquitous computing. Figure 1 shows the typical layout of an apartment, along with the sensor deployment. Second, Llama is adaptive; it responds to short-term and long-term changes in user behavior. The dotted line separates values of variables in two adjacent time slices, with the left side representing the current time slice and the right representing the next A Statistical Reasoning System for Medication Prompting 9 Table 1. Children often engage actively and fully in an activity only if that activity includes the critical ingredients of play. For example, the order of 64 gives bicep curl the best count accuracy, whereas deadlift must be applied with a filter of order higher than 94 to achieve acceptable accuracy.
Unfortunately, these algo- rithms require tedious and expensive off-line calibration in the target deployment area before they can be used for localization. We counted a subject as having taken their pill if they opened the appropriate compartment of the MedTracker 16 S. The algorithm sweeps through different spatial and temporal resolutions and finds events as anomalous spikes in the rate of geotagged tweets. In the Chowdhury et al. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer.
Stop if pill is taken. The mutual authentication scheme should also be designed to prevent replay and man-in-the-middle attacks. This helps answer the question of how accurate location can be computed based on a realistic level of calibration effort. Z-axis is shown with red stars. This process is commonly known as entity authentication. Nonetheless, the bench press had a 16% of miscount rate. Behavior Modification 15 3 , 394—418 1991 14.
A progressive exposure approach for service discovery in pervasive computing environments. We developed Placer++ as a more accurate labeler, augmenting Placer's features of individual visits with 1 labeled visits from other people and 2 features about the sequence of the individual's visits. We also provide social translucency mechanisms to help users be more aware of what others know about them. © Springer-Verlag Berlin Heidelberg 2007 Playful Tray: Adopting Ubicomp and Persuasive Techniques 39 with parents, often taking the form of a power play involving mental persistence and pitting parental persuasion against unrelenting refusal from the children. There were eight male and two female subjects.
While previous work has relied on an analysis of tweet text to identify local events, we show how to reliably detect events using only time series analysis of geotagged tweet volumes from localized regions. Tang, Wai Yong Low, and Jason I. Dey, and John Zimmerman 429 Addressing Mobile Phone Diversity in Ubicomp Experience Development. It is our view that users have learned over time to be quite conservative with their batteries because the default, static policies of mobile systems have trained them to be so. It can be accessed anytime, anywhere: this system is embedded in the mobile device that you normally bring with you when you walk into a gym, illustrated in Fig.
Upon the sensors being activated, a two-minute piece of music is played to reinforce children in continuing brushing for at least two minutes. We applied methods to sets in isolation, rather than to the entire exercise session. Results of a pilot user study suggest that the Playful Tray may improve child meal completion time and reduce negative power play interactions between parents and children, resulting in an improved family mealtime experience. The coding system consists of three behavioral categories: active feeding, interaction, and social behaviors. The second leave-one-subject-out protocol aims to understand the robustness under user variety.
Our call for papers resulted in 150 submissions, each of which was assigned to a primary and a secondary member of our Program Committee. We only plot the data from the accelerometer glove to maintain legibility. We also show how to combine our algorithm with the best part of the drive time algorithm for a slight boost in performance. The third design consideration is engagement. This design connects and integrates the fun part coming from the digital game activity with the activity of eating. Child eating actions are then used as game inputs.
Canny 100 repetitions of an exercise, the algorithm miscounts five reps. Although there are many documented cases of subjects misplacing pills taken out of a bottle, an informal check revealed that this was rare in our case, perhaps because we ensured that the subjects had reasonable cognitive abilities. Much of the technology to date has been built to serve the needs of closed proprietary systems with specific use cases. We believe that the promising results will potentially contribute to the vision of a digital personal trainer, create a new experience for exercising, and enable physical and psychological well-being. Texture segmentation algorithms rely on an absence of 3D effects that tend to distort the texture. A prediction of a vehicle's route would be useful for giving the driver advance warnings and alerts about upcoming situations and opportunities.
We do not mean to constrain to these two methods. Besides the middle top cell onto which the game is projected, each of the other five cells contains a weighing sensor underneath the cell plate to detect eating events. We present an algorithm that can be trained with only a few images of the object, that requires only two parameters to be set, and that runs at 0. We feel our selective review process and shepherding phase have resulted in a high-quality set of published papers. System architecture Through observations of young children taking meals in our clinic and interviews with their parents, we have realized that young children can exhibit a wide variety of eating and non-eating behaviors during meal times.