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Related Concept Videos

What is a Sensory System?01:31

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
Introduction to Special Senses01:26

Introduction to Special Senses

Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive functions.
Sensory Modalities01:15

Sensory Modalities

Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Introduction to Sensory Receptors01:31

Introduction to Sensory Receptors

Sensory receptors are vital in our ability to perceive and interpret the world. Sensory receptors are specialized cells in the peripheral nervous system that respond to various stimuli and enable one to experience different sensations. Based on specific criteria, sensory receptors are classified into distinct types.
The first classification criterion is based on cell type, position, and function. Some receptor cells are neurons with free nerve endings, where their dendrites are embedded in the...
Overview of Somatic Sensory Pathways01:29

Overview of Somatic Sensory Pathways

Somatic sensory or somatosensory pathways refer to the neural pathways that carry information related to touch, pressure, pain, temperature, and proprioception from the skin, muscles, tendons, and joints to the brain. These pathways involve several stages of processing and integration of sensory information.
The somatosensory system is divided into three main pathways: the dorsal (or posterior) column-medial lemniscus, spinothalamic (or anterolateral), and spinocerebellar pathways.
The dorsal...

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Sensory grammars for sensor networks.

Yiannis Aloimonos1

  • 1Computer Vision Laboratory, Institute for Advanced Computer Studies, Computer Science Department, Cognitive Science Program, University of Maryland, College Park, MD 20742, USA. yiannis@cs.umd.edu.

Journal of Ambient Intelligence and Smart Environments
|September 8, 2011
PubMed
Summary
This summary is machine-generated.

This study proposes viewing human activity as a learnable language for smart environments. Machine learning on sensor data can decode this activity, fostering technological advancement and industry growth.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Ambient Intelligence and Smart Environments aim to interpret human activity.
  • Developing practical applications requires a structured approach to activity interpretation.
  • Current methods lack a unified framework for understanding complex human behaviors in intelligent spaces.

Purpose of the Study:

  • To propose a novel approach for interpreting human activity in smart environments.
  • To conceptualize human activity as a structured language.
  • To outline a path for developing industry standards and technologies.

Main Methods:

  • Treating human activity as a language with its own phonemes, morphemes, and syntax.
  • Utilizing machine learning techniques for language acquisition.
  • Applying methods to large-scale data collected from sensor networks.

Main Results:

  • Human activity can be formally represented and learned as a language.
  • This language-based approach facilitates the interpretation of complex behaviors.
  • The proposed framework enables hierarchical understanding of activities.

Conclusions:

  • A language-based model offers a principled way to interpret human activity in smart environments.
  • Machine learning applied to sensor data can effectively learn these activity languages.
  • This approach bridges Ambient Intelligence with other fields and supports industry development.