Smartphone-Based Assistance for Blind People to Stand in Lines
              
              
            
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            Abstract
          
          
            We present a system to allow blind people to stand in line in public spaces by using an off-the-shelf smartphone only. The technologies to navigate blind pedestrians in public spaces are rapidly improving, but tasks which require to understand surrounding people's behavior are still difficult to assist. Standing in line at shops, stations, and other crowded places is one of such tasks. Therefore, we developed a system to detect and notify the distance to a person in front continuously by using a smartphone with an RGB camera and an infrared depth sensor. The system alerts three levels of distance via vibration patterns to allow users to start/stop moving forward to the right position at the right timing. To evaluate the effectiveness of the system, we performed a study with six blind people. We observed that the system enables blind participants to stand in line successfully, while also gaining more confidence.
          
          
          
            Publication
          
          
              Seita Kayukawa, Hironobu Takagi, João Guerreiro, Shigeo Morishima, and Chieko Asakawa.
              2020.
              Smartphone-Based Assistance for Blind People to Stand in Lines.
              Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA 2020).
            
            
          
            Authors
          
          
                Waseda Research Institute for Science and Engineering
              
            
                IBM Research
              
            
            Related Project
          
          
          
                (* - equal contribution)
            
              CHI 2021
            
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            Acknowledgements
          
          
            This work was supported by JST ACCEL (JPMJAC1602) and JST-Mirai Program (JPMJMI19B2). We thank Tatsuya Ishihara, Masayuki Murata, Takashi Itoh, and Masashi Oikawa for their support.