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This paper addresses the problem of anomaly detection on rotating machinery in industrial environments using single channel audio signals. The proposed algorithm is based on image processing feature analysis obtained from the image representation of the Short-time Fourier Transform of reference and degraded audio signals. In order to assess the potential of the algorithm, a 8 signals database is recorded...
To provide the elderly with appropriate and timely caregiving in activities of daily life (ADL), it is desired for robots to have the capability of intention awareness (IA). Different from existing context-specific intention awareness (CSIA) approaches which are based on a limited and passive knowledge database, our approach, named ‘WebIA’, adopts a novel web query approach to establish a vast and...
Training for balancing, which is governed by the motion of pelvis and thorax, is a key for gait rehabilitation. COWALK, which is a gait rehabilitation robot under development in our institute, is capable of pelvic motion training. In this paper, we describe a statistical method to generate pelvic motion which is considered to fit each person, i.e., personalized pelvic motion. We measured 14 anthropometric...
There has been a recent interest in utilizing contextual knowledge to improve multi-label visual recognition for intelligent agents like robots. Natural Language Processing (NLP) can give us labels, the correlation of labels, and the ontological knowledge about them, so we can automate the acquisition of contextual knowledge. In this paper we show how to use tools from NLP in conjunction with Vision...
This paper described blind user indoor environment mapping system for self-localization via webcam camera. The method used is based on robot navigation systems which capture and build panorama map of the floor. The map is then incrementally update its position as it moves throughout an environment. Image registration techniques are applied to measure translation distance and rotation angle between...
Our present paper deals with the problem of audio speaker localization, which consists in determining the position of the active speaker in a meeting-room. This step represents the first task of speaker tracking, which is the global purpose of our research work. In this approach, two-channel-based (stereo) estimation of the speaker position is achieved by comparing the signals received by two cardioids...
In this paper, a method for constructing ideal motion and analyzing difference between current and past motion is proposed. The ideal motion means a motion which is considered from past to current motion information. The proposed method is supposed to apply motion assist by robots. For the motion assist by robots, individual database adjusted to day-by-day variation is necessary. This database should...
Contact-free estimation of the human somatosensory information is an essential skill for robots working in daily environments. The main objective of this paper is to develop a method for estimating muscle tensions without any sensors attached to the body. Muscle tension is an important information for evaluating physical load during motions. Existing approaches utilizing optimization techniques and/or...
This paper establishes a speaker-independent pronunciation recognition and assessment system with 673 words for mandarin Chinese under the background of a Chinese learning system framework. The recognition part is based on HTK using HMM (Hidden Markov Models) and improved in the aspect of acoustic model. Making use of the recognition results and the log-likelihood obtained from the Viterbi coding,...
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