[go: up one dir, main page]

Min et al., 2018 - Google Patents

Sound event recognition-based classification model for automated emergency detection in indoor environment

Min et al., 2018

Document ID
6663402062913598584
Author
Min K
Jung M
Kim J
Chi S
Publication year
Publication venue
Advances in Informatics and Computing in Civil and Construction Engineering: Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management

External Links

Snippet

Prompt emergency detection and response in indoor environments is a significant issue due to the difficulties in detecting indoor emergency events. However, current indoor monitoring tasks are mainly carried out by manual observations of occupants and such human …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification
    • G10L17/26Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L2015/088Word spotting
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation

Similar Documents

Publication Publication Date Title
US12142261B2 (en) Audio type detection
Cao et al. Excavation equipment recognition based on novel acoustic statistical features
EP3220367A1 (en) System and method for sound based surveillance
Min et al. Sound event recognition-based classification model for automated emergency detection in indoor environment
Kendzhaeva et al. Providing safety for citizens and tourists in cities: a system for detecting anomalous sounds
Rahman et al. Hybrid system for automatic detection of gunshots in indoor environment
Foggia et al. Detecting sounds of interest in roads with deep networks
Yun et al. Recognition of emergency situations using audio–visual perception sensor network for ambient assistive living
Dosbayev et al. Audio surveillance: detection of audio-based emergency situations
Ahn et al. Personalized behavior pattern recognition and unusual event detection for mobile users
Sun et al. SOS: Real-time and accurate physical assault detection using smartphone
Najafi et al. Autonomous drone detection and classification using computer vision and prony algorithm-based frequency feature extraction
Mielke et al. Smartphone application for automatic classification of environmental sound
Wang et al. A sound-based crowd activity recognition with neural network based regression models
CN112580788A (en) Situation cognition method, device, equipment and medium based on long-time and short-time memory network
Dobre et al. High-performance, low complexity yelp siren detection system
Mesa-Cantillo et al. A sound events detection and localization system based on YAMNet model and BLE beacons
Shankhdhar et al. Human scream detection through three-stage supervised learning and deep learning
Jekic et al. Environmental sound recognition with classical machine learning algorithms
Dominguez-Jalili et al. Real-Time robbery detection in public transport using audio recordings and deep learning
Sayed et al. Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond
Ntalampiras et al. Detection of human activities in natural environments based on their acoustic emissions
Köse et al. Convlstm-based vehicle detection and localization in seismic sensor networks
Nwebonyi et al. Crime and incident watch for smart cities: a sensor-based approach
Deshmukh et al. Violence detection through surveillance system