[go: up one dir, main page]

Blum et al., 2006 - Google Patents

Insense: Interest-based life logging

Blum et al., 2006

View PDF
Document ID
16701464397884911120
Author
Blum M
Pentland A
Troster G
Publication year
Publication venue
IEEE MultiMedia

External Links

Snippet

Our wearable data collection system lets users collect their experiences into a continually growing and adapting multimedia diary. The system--called inSense--uses the patterns in sensor readings from a camera, microphone, and accelerometers to classify the user's …
Continue reading at vismod.media.mit.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures
    • 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
    • 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
    • G06K9/00335Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
Blum et al. Insense: Interest-based life logging
Laput et al. Sensing fine-grained hand activity with smartwatches
Junker et al. Gesture spotting with body-worn inertial sensors to detect user activities
Maurer et al. Location and activity recognition using eWatch: A wearable sensor platform
Bao et al. Movi: mobile phone based video highlights via collaborative sensing
Feldman et al. ReachMedia: On-the-move interaction with everyday objects
Meng et al. Towards online and personalized daily activity recognition, habit modeling, and anomaly detection for the solitary elderly through unobtrusive sensing
Huynh et al. Discovery of activity patterns using topic models
Gemmell et al. Passive capture and ensuing issues for a personal lifetime store
Santos et al. Providing user context for mobile and social networking applications
GB2400667A (en) Attention detection
Ganti et al. Multisensor fusion in smartphones for lifestyle monitoring
Pauwels et al. Sensor networks for ambient intelligence
Jansi et al. A novel chaotic map based compressive classification scheme for human activity recognition using a tri-axial accelerometer
Anceschi et al. Savemenow. ai: A machine learning based wearable device for fall detection in a workplace
Wu et al. Senscare: Semi-automatic activity summarization system for elderly care
Gao et al. A physical and verbal bullying detecting algorithm based on K-NN for school bullying prevention
Dodge et al. The ethics of forgetting in an age of pervasive computing
Liang et al. Activity recognition using ubiquitous sensors: An overview
Blum et al. InSensed: Wearable Collection of Multimedia based on Interest
Lepri et al. What is happening now? detection of activities of daily living from simple visual features
Choujaa et al. Activity recognition from mobile phone data: State of the art, prospects and open problems
Takata et al. Lifelog image analysis based on activity situation models using contexts from wearable multi sensors
Rybski et al. Using sparse visual data to model human activities in meetings
Paulson et al. Office activity recognition using hand posture cues