Learning to Classify Observed Motor Behavior
نویسنده
چکیده
We present a representational format for observed movements The representation has a temporal structure relating components of a single complex movement. We also present OXBOW, an unsupervised learning system, which constructs classes of these movements. Empirical results indicate that the system builds abstract movement concepts with appropriate component structure allowing it to predict the latter portions of a partially observed movement.
منابع مشابه
Effects of Bilateral Electrolytic Lesions of the Dorsomedial Striatum on Motor Behavior and Instrumental Learning in Rats
Introduction: The dorsal striatum plays an important role in the control of motor activity and learning processes within the basal ganglia circuitry. Furthermore, recent works have suggested functional differentiation between subregions of the dorsal striatum Methods: The present study examined the effects of bilateral electrolytic lesions of the dorsomedial striatum on motor behavior and learn...
متن کاملGender difference in motor impairments induced by chronic administration of vinblastine
Objective(s):Neurotoxicity of anticancer drugs complicates treatment of cancer patients. Vinblastine (VBL) is reported to induce motor and cognitive impairments in patients receiving chronic low-dose regimen. Materials and Methods: The effects of VBL treatment on motor, learning and memory functions of male and female Wistar rats were studied by behavioral related tests. Animals were given chro...
متن کاملClassification of EEG-based motor imagery BCI by using ECOC
AbstractAccuracy in identifying the subjects’ intentions for moving their different limbs from EEG signals is regarded as an important factor in the studies related to BCI. In fact, the complexity of motor-imagination and low amount of signal-to-noise ratio for EEG signal makes this identification as a difficult task. In order to overcome these complexities, many techniques such as variou...
متن کاملDetection of children's activities in smart home based on deep learning approach
Monitoring behavior of children in the home is the extremely important to avoid the possible injuries. Therefore, an automated monitoring system for monitoring behavior of children by researchers has been considered. The first step for designing and executing an automated monitoring system on children's behavior in closed spaces is possible with recognize their activity by the sensors in the e...
متن کاملDetection of children's activities in smart home based on deep learning approach
Monitoring behavior of children in the home is the extremely important to avoid the possible injuries. Therefore, an automated monitoring system for monitoring behavior of children by researchers has been considered. The first step for designing and executing an automated monitoring system on children's behavior in closed spaces is possible with recognize their activity by the sensors in the e...
متن کامل