Gaurav N. Pradhan

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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)
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)
With the recent advancement in the wearable sensor technology, various body sensor network systems are being incorporated in the garments to monitor continuous physiological as well as motor behavior of an individual. The raw physiological time series data coming from on-body sensors requires a thorough analysis for extraction of meaningful information. In(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.
INTRODUCTION Visual performance impairment after hypoxia is well recognized in military and civilian aviation. The aims of this study were: 1) to assess oculometric features such as blink metrics, pupillary dynamics, fixations, and saccades as cognitive indicators of early signs of hypoxia; and 2) to analyze the impact of different hypoxic conditions(More)
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)
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)