Showing papers by "Daqing Zhang published in 2009"

Gesture Recognition with a 3-D Accelerometer

Abstract: Gesture-based interaction, as a natural way for human-computer interaction, has a wide range of applications in ubiquitous computing environment. This paper presents an acceleration-based gesture recognition approach, called FDSVM ( Frame-based Descriptor and multi-class SVM), which needs only a wearable 3-dimensional accelerometer. With FDSVM, firstly, the acceleration data of a gesture is collected and represented by a frame-based descriptor, to extract the discriminative information. Then a SVM-based multi-class gesture classifier is built for recognition in the nonlinear gesture feature space. Extensive experimental results on a data set with 3360 gesture samples of 12 gestures over weeks demonstrate that the proposed FDSVM approach significantly outperforms other four methods: DTW, Naive Bayes, C4.5 and HMM. In the user-dependent case, FDSVM achieves the recognition rate of 99.38% for the 4 direction gestures and 95.21% for all the 12 gestures. In the user-independent case, it obtains the recognition rate of 98.93% for 4 gestures and 89.29% for 12 gestures. Compared to other accelerometer-based gesture recognition approaches reported in literature FDSVM gives the best resulrs for both user-dependent and user-independent cases.

An Ontology-Based P2P Network for Semantic Search

Abstract: This article presents an ontology-based peer-to-peer network that facilitates efficient search for data in widearea networks. Data with the same semantics are grouped together into one-dimensional semantic ring space in the upper-tier network. This is achieved by applying an ontology-based semantic clustering technique and dedicating part of node identifiers to correspond to their data semantics. In the lower-tier network, peers in each semantic cluster are organized as Chord identifier space. Thus, all the nodes in the same semantic cluster know which node is responsible for storing context data triples they are looking for, and context queries can be efficiently routed to those nodes. Through the simulation studies, the authors demonstrate the effectiveness of our proposed scheme.

Towards a Task Supporting System with CBR Approach in Smart Home

Abstract: Smart Home is a hot research area that has gained a lot of attention in recent years. Smart home applications should focus on the inhabitant's goal or task in diverse situations, rather than the various complex devices and services. One of the important issues for Smart Home design is to perceive the environment and assess occurring situations, thus allowing systems to behave intelligently. This paper proposes a context-dependent task approach to manage the pervasive services, the case based reasoning (CBR) method has been adopted and implemented to recognize tasks, enabling task-oriented system design in smart home environments.

A collaborative-based approach for context-aware service provisioning in smart environment

Abstract: The novel mobile scenarios encourage the design and development of context-aware middleware that provides on demand appropriate semantic services services to mobile user's access in a dynamic smart environment, since wireless hotspots and mobile devices are permeating our workplace, home and public places. As mobile users will be immersed in thousands of different kinds of pervasive services, it's of paramount importance to provide appropriate personalized services to the right person in the right form. In this paper we present a collaborative-based service provisioning approach which can enable effective service provision based on social semantic characteristics of user profile, device capability, situation context and services in WLAN enabled environment. We illustrate our ideas through a scenario of service discovery and provision in unfamiliar public places (e.g. airport), and present an OSGi-based middleware to instantiate the service provisioning process based on semantic matchmaking.

Affective-cognition modeling of product ecosystems using timed colored Petri nets

Abstract: Design for products and systems that are affectively pleasurable and cognitive intuitive conveys a competitive edge in terms of customer satisfaction. Further, it is not uncommon that products tend to be correlated with one another, in conjunction with services, use environments, along with many other use context-related factors. This leads to a scenario of product ecosystem design. This paper proposes concepts about product ecosystems, such as the affective and cognitive dimensions and modeling techniques that need to be specified, designed and implemented in order to realize the potential of the product ecosystem vision. Based on timed colored Petri nets, the proposed concepts are then translated into an operative model for the design and evaluation of the product ecosystem using an illustrating example. Preliminary results shed light on the paradigm of product ecosystem design.