TY - GEN
T1 - Smartphone-based assistance for blind people to stand in lines
AU - Kayukawa, Seita
AU - Takagi, Hironobu
AU - Guerreiro, João
AU - Morishima, Shigeo
AU - Asakawa, Chieko
N1 - Funding Information:
This work was supported by JST ACCEL (JPMJAC1602) and JST-Mirai Program (JPMJMI19B2). We thank T. Ishihara, M. Murata, T. Itoh, and M. Oikawa for their support.
Funding Information:
This work was supported by JST ACCEL (JPMJAC1602) and JST-Mirai Program (JPMJMI19B2). We thank T. Ishi-hara, M. Murata, T. Itoh, and M. Oikawa for their support.
Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - 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 a 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.
AB - 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 a 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.
KW - Assistive technology
KW - Orientation and mobility
KW - Pedestrian detection
KW - Vibrotactile feedback
KW - Visual impairment
UR - http://www.scopus.com/inward/record.url?scp=85090239386&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090239386&partnerID=8YFLogxK
U2 - 10.1145/3334480.3382954
DO - 10.1145/3334480.3382954
M3 - Conference contribution
AN - SCOPUS:85090239386
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Y2 - 25 April 2020 through 30 April 2020
ER -