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Indoor positioning system is a rapidly emerging technology. Unlike outdoor positioning, which uses triangulation from satellites in line-of-sight, current indoor positioning methods attempt triangulation using Received Signal Strength Indicator (RSSI) from indoor transmitters, like WiFi and RFID. These methods, however, are not accurate and suffer from issues like multi-path and absorption by walls...
In this paper, we propose a novel approach to detect a targeted attack by visualizing the paths of lateral movement in which the attacker compromises several hosts in the targeted network step by step to achieve his final goal. To this end, we first identify a pair of hosts that has a relationship in which a host can have compromised the other host based on the suspiciousness of their activities and...
We propose an Augmented Visual Intelligence (AVI) framework to assist human in vision- and memory-related tasks. The AVI framework exploits wearable cameras and ambient computing facilities to empower a user's vision and memory functions by answering four types of queries central to visual activities. In particular, the Extended Visual Memory (EVM) model plays a central role in AVI. Learning of EVM...
Indoor localization based on image matching faces the challenges of clustering large amounts of images to build a reference database, costly query when the database is large and indistinctive image features in buildings with unified decoration style. We propose a novel indoor localization algorithm using smartphones where WiFi, orientation and visual signals are fused together to improve the localization...
Restoring mobility and rehabilitation of gait are high priorities for post-stroke rehabilitation. Cueing using metronomic rhythmic sensory stimulation has been shown to improve gait, but most versions of this approach have used auditory and visual cues. In contrast, we developed a prototype wearable system for rhythmic cueing based on haptics, which was shown to be highly effective in an early pilot...
One of the current research problems in the field of visual surveillance is optimizing the locations of the visual sensors. The efficiency of visual sensor localization becomes increasingly demanding as it can directly impact the efficiency of allocated resources as well as system performance. This problem can be divided to two sub-problems namely how to prioritize the area of interest and how to...
Indoor GPS navigation is unreliable owing to poor communication with satellites and a lack of detailed maps. The authors discuss technologies that offer accurate indoor location and orientation data, presenting their system for indoor navigation, which runs on a smartphone. The Web extra at http://youtu.be/cfOSNjyD15A illustrates the prototypal system. Another Web extra, http://youtu.be/6DtHkihkiO4,...
In the energy-efficient smart building, occupancy detection and localization is an area of increasing interest, as services, such as lighting and ventilation, could be targeted towards individual occupants instead of an entire room or floor. Also, an increasing quantity and diversity of environmental sensors are being added to smart buildings to ensure the quality of services provided by the building...
We present the map modeling toolkit Yamamoto, which allows to efficiently model and design assistive building environments in 3-D. We focus on the tool's ability to represent and simulate sensors and actuators, i.e. navigational beacons used for indoor positioning and navigation purposes. An interactive avatar can be used to simulate and evaluate location-based applications in the virtual model. Vice...
In this paper we propose "SoTong" system for enhancing family relationship with relation oriented communication. In the relation oriented communications, we focus on the relationship by representation and promotion of relations together with awareness of other's situation for the connectedness and the coexistence. The system captures and analyzes communication channels among modern families...
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