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Haptic data such as 3D motion capture data and sign language animation data are new forms of multimedia data. The motion data is multi-attribute, and indexing of multi-attribute data is important for quickly pruning the majority of irrelevant motions in order to have real-time animation applications. Indexing of multi-attribute data has been attempted for(More)
Content-based retrieval of 3D human motion capture data has significant impact in different fields such as physical medicine, rehabilitation , and animation. This paper develops an efficient indexing approach for 3D motion capture data, supporting queries involving both sub-body motions (e.g., Find similar knee motions) as well as whole-body motions. The(More)
Advancement in technology has led to the deployment of body sensor networks (BSN) to monitor and sense human activity in pervasive environments. Using multiple wireless on-body systems, such as physiological data monitoring and motion capture systems, body sensor network data consists of heterogeneous physiologic and motoric streams that form a(More)
In this paper, we present a system that integrates inertial sensors and electromyogram (EMG) signals, which measures the muscular activities while performing motions. The objective of our study is to investigate the behaviour of the EMG signals to interpret the activity of standing balance. Quantitative parameters for balance are obtained from an inertial(More)
Content-based retrieval of the similar motions for the human joints has significant impact in the fields of physical medicine, biomedicine, rehabilitation, and motion therapy. In this paper, we propose an efficient indexing approach for 3-D human motion capture data, supporting queries involving both subbody motions as well as whole-body motions.
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multi-joint external movements. Electro-myograph (EMG) signals give the physiologic information of muscles while doing motions. In this paper, our objective is to integrate these two different bio-medical data together and to extract precise and(More)
From cartoons to medical research world, from the field of arts to scientific visualization, everyone related to these areas have been continuously using 3D motion capture data. Querying on these databases is one of the important tasks. In recent years, almost all the querying interfaces for motion databases are related to tag based search. A lot of manual(More)
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associated with different quantitative attributes, they form a multiple multi-dimensional framework. In this paper, we consider real-life time series data of muscular activities of human(More)
An instrumented data glove with a wireless interface provides convenient and natural human– computer interaction for people with speech or hearing impairments. H umans communicate with each other using speech, hand gestures , facial expressions, and sign language. It seems natural to use the same type of interactions when communicating with computers. This(More)
Cognitive functions, motoric expression, and changes in physiology are often studied separately, with little attention to the relationships, or correlations, among these entities. In this study, we implement an integrated approach by combining motion capture (action) and EMG (physiological) parameters as synchronized data streams resulting from the action(More)