Descending Stairs Detection with Low-Power Sensors

被引:2
|
作者
Cloix, Severine [1 ,2 ]
Bologna, Guido [2 ]
Weiss, Viviana [2 ]
Pun, Thierry [2 ]
Hasler, David [1 ]
机构
[1] Ctr Suisse Elect & Microtech SA, Neuchatel, Switzerland
[2] Univ Geneva, Dept Comp Sci, Geneva, Switzerland
来源
COMPUTER VISION - ECCV 2014 WORKSHOPS, PT III | 2015年 / 8927卷
关键词
Descending stair detection; Stereo vision; Elderly care; Rehabilitation; Visual impairment; Low-power sensors; STEREO; VISION;
D O I
10.1007/978-3-319-16199-0_46
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the increasing proportion of senior citizens, many mobility aid devices were developed such as the rollator. However among walker's users, 87% of their falls is attributed to rollators. The EyeWalker project aims at developing a small device for rollators to protect elderly people from such dangers. Descending stairs are ones of the potential hazards rollator users have to daily face. We propose a method to detect them in real-time using a passive stereo camera. To meet the requirements of low-power consumption, we examined the performance of our stereo vision based detector with regard to the camera resolution. It succeeds in differentiating dangerously approaching stairs from safe situations at low resolutions. In the future, our detector will be ported on an embedded platform equipped with a pair of low-resolution and high dynamic range stereo camera for both indoor and outdoor usage with a battery-life of several days.
引用
收藏
页码:658 / 672
页数:15
相关论文
共 50 条
  • [21] Evaluation of power saving methods for low-power WiFi environment sensors
    Preucil, Tomas
    Novotny, Martin
    2022 11TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2022, : 114 - 118
  • [22] A Low-Power Communication Strategy for Terminal Sensors in Power Status Monitoring
    Wu, Qingqing
    Wang, Yufei
    Zhai, Di
    Lu, Yang
    Zhong, Cheng
    Liu, Yihan
    Li, Yuxuan
    SENSORS, 2025, 25 (05)
  • [23] An Autonomous Power Supply System Supporting Low-Power Wireless Sensors
    Dallago, Enrico
    Danioni, Alberto
    Marchesi, Marco
    Venchi, Giuseppe
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2012, 27 (10) : 4272 - 4280
  • [24] Low-power and low-cost implementation of SVMs for smart sensors
    Boni, Andrea
    Pianegiani, Fernando
    Petri, Dario
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2007, 56 (01) : 39 - 44
  • [25] Low-Power Testing for Low-Power Devices
    Wen, Xiaoqing
    2010 IEEE 25TH INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT TOLERANCE IN VLSI SYSTEMS (DFT 2010), 2010, : 261 - 261
  • [26] A low-power spike detection and alignment algorithm
    Zviagintsev, A
    Perelman, Y
    Ginosar, R
    2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2005, : 317 - 320
  • [27] Low-Power Implantable Seizure Detection Processor
    Omar, Sherif
    Mostafa, Hassan
    Ismail, Tawfik
    Gabran, Salam
    2015 IEEE CONFERENCE ON ELECTRONICS, CIRCUITS, AND SYSTEMS (ICECS), 2015, : 496 - 497
  • [28] Micro light plates for low-power photoactivated (gas) sensors
    Markiewicz, Nicolai
    Casals, Olga
    Fabrega, Cristian
    Gracia, Isabel
    Cane, Carles
    Wasisto, Hutomo Suryo
    Waag, Andreas
    Daniel Prades, Joan
    APPLIED PHYSICS LETTERS, 2019, 114 (05)
  • [29] Low-Power Optical Sensor for Traffic Detection
    Johansson, Ted
    Forchheimer, Robert
    Astrom, Anders
    IEEE SENSORS LETTERS, 2020, 4 (05)
  • [30] A Low-Power MEMS Microphone Array for Wireless Acoustic Sensors
    Ottoy, Geoffrey
    Thoen, Bart
    De Strycker, Lieven
    2016 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2016) PROCEEDINGS, 2016, : 373 - 378