Total views : 367
A Smart Wheelchair System with Social Media update
Objective: To develop a smart wheelchair for blind and disabled persons. Methods and Analysis: The wheelchairs being used patients are not user friendly. In modern days, it is difficult for a person to attend a patient throughout the day. The proposed wheelchair can be self-manoeuvred easily by the patient using hand or head gestures. Apart from it, the wheelchair is aided by a voice guided indoor positioning system. Findings: We incorporated an IOT service device so that the status of the patient is regularly updated on a web server. This smart wheelchair is connected to the cell-phone of the guardian as well as the social media profile of the patient so that the patient can get help as soon as there's a mishap. Improvement: The wheelchair has ability to detect obstacles across the path of the patient and it can divert its path from the obstacle so as to avoid collision.
Gesture Control, Internet of Things, Indoor Positioning, Obstacle Avoidance, Voice Guidance.
- Brandt A, Iwarsson S, Stahle A. Older people’s use of powered wheelchairs for activity and participation. J Rehabil Med. 2004; 36:70–7.
- Megalingam RK, Nair RN, Prakhya S. Automated voice based home navigation system for the elderly and the physically challenged. ICACT; 2011 Feb. p. 603–8.
- Srinivasavaradhan L, Chandramouli G. Automated vehicles for physically and visually challenged. International Conference on Perspective Technologies and Methods in MEMS Design; 2008 May. p. 40–3.
- Madhubala JS, Umamakeswari A. A vision based fall detection system for elderly people. Indian Journal of Science and Technology. 2015 May; 8(S9):167–75.
- Manognas, Vaishnavi S, Geethanjali B. Head movement based assist system for physically challenged. 4th International Conference on Bioinformatics and Biomedical Engineering (ICBBE); 2010 Jun. p. 1–4.
- Matsumoto Y, TomoyukiIno, Ogasawara T. Development of intelligent wheelchair system with face and gaze base interface. IEEE Workshop on Robot and Human Interactive Communications; 2001. p. 2622–7.
- Kuno Y, Murashima T, Shimada N, Shirai Y. Interactive gesture interface for intelligent wheelchairs. 2000 IEEE Conference on Multimedia and Expo; 2000. p. 789–92.
- Sathish S , Nithyakalyani K, Vinurajkumar S, Vijayalakshmi C, Sivaraman J. Control of robotic wheel chair using EMG signals for paralysed persons . Indian Journal of Science and Technology. 2016 Jan; 9(1):1–3.
- Prakash M, Gowshika U, Ravichandran T. A smart device integrated with an android for alerting a person’s health condition: Internet of things. Indian Journal of Science and Technology. 2016 Feb; 9(6):1–6.
- Kamiuchi S, Maeyama S. A novel human interface of an omni directional wheelchair. 13th IEEE International Workshop on Robot and Human Interactive Communication; 2004 Sep. p. 101–6.
- Banerjee C, Gupta H, Sushobhan K. Low cost speech and vision based wheel chair for physically challenged. The 2nd International Conference on Computer and Automation Engineering (ICCAE); 2010 Sep. p. 706–9.
- Bell DA, Borenstein J, Levine SP, Koren Y. An assistive navigation system for wheelchairs based upon mobile robot obstacle avoidance. 1994 IEEE Conference on Robotics and Automation; 1994 May. p. 2018–22.
- Hamagami T, Hirrata H. Development of intelligent wheelchair acquiring autonomous, cooperative and collaborative behavior. IEEE International Conference on Systems, Man and Cybernetics; 2004 Oct. p. 3525–30.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.