An Information Sensor With Inpixelprocessing For Geriatric Nursing

• doi: 10.1109/ICSENS.2011.6127122
• title: An information sensor with in-pixel-processing for geriatric nursing
• publisher: IEEE
• isbn: 978-1-4244-9288-6
• issn: 1930-0395
• partnum: 11CH38800
• rank: 1586
• access_type: LOCKED
• content_type: Conferences
• abstract: A new concept of “information sensor” (IS) has been presented in this paper. IS is defined by integrating CMOS image sensor with in-pixel-processing capability of captured image. The output of IS is only the necessary information data for applications instead of image raw data. The purpose of IS is not only to provide a non-complex, low cost, less power consumption system for image information extraction, but also to reduce the risk of privacy releasing. The proposed sensor system has three operation modes as image-display, edge-detection and barycenter-locating. The image-display mode is the standard imager mode with raw data output. The other two modes are used to output the necessary information for locating the specified target (e.g. geriatric or aged individuals) for nursing. A 56×48 IS pixel array with pixel pitch as 25×25 um2 and 3.3V operation has been designed and implemented in 0.18-um TSMC CIS technology. The measured results of proposed IS chip demonstrate successful output with raw image, edge extraction and barycenter locating.
• article_number: 6127122
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6127122
• html_url: https://ieeexplore.ieee.org/document/6127122/
• abstract_url: https://ieeexplore.ieee.org/document/6127122/
• publication_title: SENSORS, 2011 IEEE
• conference_location: Limerick, Ireland
• conference_dates: 28-31 Oct. 2011
• publication_number: 6114955
• is_number: 6126898
• publication_year: 2011
• publication_date: 28-31 Oct. 2011
• start_page: 1503
• end_page: 1506
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 186
• insert_date: 20120112
• index_terms:
  • ieee_terms:
    • Image edge detection
    • Arrays
    • Robot sensing systems
    • Power demand
    • Process control
    • Geriatrics
  • dynamic_index_terms:
    • Raw Data
    • Power Consumption
    • Raw Images
    • Image Sensor
    • Camera Sensor
    • Edge Detection
    • Raw Output
    • Raw Image Data
    • Barycenter
    • Pixel Pitch
    • Edge Extraction
    • Complex Systems
    • Frame Rate
    • Black Background
    • High Frame Rate
    • Bright Pixels
    • Edge Elements
    • Bright Objects
    • Edge Detection Method
• isbn_formats:
  • format: CD, value: 978-1-4244-9288-6, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4244-9290-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4244-9289-3, isbnType: New-2005
• authors:
  • Author Name: Chin Yin
    Affiliation: Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C
    Author URL: https://ieeexplore.ieee.org/author/38247208400
    ID: 38247208400
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C
  • Author Name: Chih-Cheng Hsieh
    Affiliation: Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C
    Author URL: https://ieeexplore.ieee.org/author/37365236900
    ID: 37365236900
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C
  • Author Name: Wen-Hsu Chang
    Affiliation: National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C
    Author URL: https://ieeexplore.ieee.org/author/37710792600
    ID: 37710792600
    Order: 3
    Author Affiliations:
    • National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C
  • Author Name: Ying-Zong Juang
    Affiliation: National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C
    Author URL: https://ieeexplore.ieee.org/author/37265256500
    ID: 37265256500
    Order: 4
    Author Affiliations:
    • National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C
  • Author Name: Chin-Fong Chiu
    Affiliation: National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C
    Author URL: https://ieeexplore.ieee.org/author/37348347200
    ID: 37348347200
    Order: 5
    Author Affiliations:
    • National Applied Research Laboratories, National Chip Implementation Center, Taiwan, R.O.C

Image Sensor

• sensor_type: CMOS
• resolution: 56x48
• dynamic_range: Not specified
• pixel_size: 25um x 25um
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 600fps
• sensitivity: 1V/lux.s
• power_consumption: 3mW

Applications & Benefits

• cell_imaging: Used in geriatric nursing for monitoring individuals with privacy sensitivity needs.
• benefits: Non-complex, low cost, less power consumption, reduced data bandwidth, improved privacy preservation.

Supporting Organizations

• supported_by: National Chip Implementation Center (CIC), National Applied Research Laboratories (NARL), National Science Council, Taiwan.

Manuscript Details

• publication_date: 28-31 Oct. 2011

Relevancy Score

• score: 9
• missing_fields:
  • quantum_efficiency
  • fill_factor
  • temporal_noise
  • fixed_pattern_noise
  • analog_to_digital_conversion
  • microlenses
  • color_filters
  • global_shutter
  • rolling_shutter
  • backside_illumination

Processed JSON Filename

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