Sensors in Smart Phone

被引：0
|
作者：
Pei, Chunmei [1 ]
Guo, Huiling [2 ]
Yang, Xiuqing [1 ]
Wang, Yangqiu [1 ]
Zhang, Xiaojing [1 ]
Ye, Hairong [1 ]
机构：
[1] Beijing Vocat Coll Elect Sci & Technol, Beijing, Peoples R China
[2] China Univ Mining Technol, Beijing, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 2 | 2011年 / 345卷
关键词：
Communication Terminal; Sensor; Smart Phone; 3I;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
The technological innovation in electronics makes nowadays mobile phone more than a simple communication tool: it becomes a portable electronic device with integrated functions, such as listening to music, watching movies, taking photos, etc. To achieve these, many kinds of advanced sensor are used. In this paper, several applications of sensor in smart phone are introduced including Image Sensor, Fingerprint Identification Sensor, Photo-electric Sensor, Acceleration Sensor, etc. The trend of the mobile phone, 3I (Intellignet, Interaction and Internet), will have all kinds of sensor more and more popular in mobile phones to change our life.
引用
收藏
页码：491 / +
页数：2
相关论文
共 50 条
  • [31] All Smart, No Phone
    Hecht, Jeff
    [J]. IEEE SPECTRUM, 2014, 51 (10) : 36 - 41
  • [32] Activity recognition system using inbuilt sensors of smart mobile phone and minimizing feature vectors
    Acharjee, Dulal
    Mukherjee, Amitava
    Mandal, J. K.
    Mukherjee, Nandini
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2016, 22 (11): : 2715 - 2722
  • [33] Hidden Markov model a tool for recognition of human contexts using sensors of smart mobile phone
    Acharjee, Dulal
    Maity, S. P.
    Mukherjee, Amitava
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2017, 23 (03): : 571 - 582
  • [34] Indoor Localization Using Digital Auto Zoom of a Smart-phone Camera and Integrated Sensors
    Chae, Yoonsung
    Duy Thong Nguyen
    Park, Sangcheol
    Park, Youngil
    [J]. 2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 561 - 564
  • [35] Human Activity Recognition using Smart Phone Embedded Sensors: A Linear Dynamical Systems Method
    Wang, Wen
    Liu, Huaping
    Yu, Lianzhi
    Sun, Fuchun
    [J]. PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 1185 - 1190
  • [36] iPainRelief -A Pain Assessment and Management App for a Smart phone Implementing Sensors and Soft Computing Tools
    Rajesh, Madhumathi
    Muthu, Joan S.
    Suseela, G.
    [J]. 2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2013, : 434 - 441
  • [37] A Practical RF-based Indoor Localization System Combined with the Embedded Sensors in Smart Phone
    Li, Wei
    Li, Hewu
    Jiang, Yong
    [J]. 2014 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2014, : 1177 - 1182
  • [38] Hidden Markov model a tool for recognition of human contexts using sensors of smart mobile phone
    Dulal Acharjee
    S. P. Maity
    Amitava Mukherjee
    [J]. Microsystem Technologies, 2017, 23 : 571 - 582
  • [39] Activity recognition system using inbuilt sensors of smart mobile phone and minimizing feature vectors
    Dulal Acharjee
    Amitava Mukherjee
    J. K. Mandal
    Nandini Mukherjee
    [J]. Microsystem Technologies, 2016, 22 : 2715 - 2722
  • [40] Correction to: Deep neural network for human falling prediction using log data from smart watch and smart phone sensors
    Anas Nabeel Al-Shawi
    Sefer Kurnaz
    [J]. Soft Computing, 2024, 28 (11-12) : 7587 - 7587
12345