Attending and Observing Robot for Crutch Users

Tsuda, Naoaki; Tarao, Susumu; Nomura, Yoshihiko; Kato, Norihiko

doi:10.1145/3173386.3176968

Cited by 6 publications

(9 citation statements)

References 3 publications

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“…Reference [ 21 ] brought this system to a robotic vacuum cleaner so that subjects could walk longer distances. In [ 22 ], an experimental setup in the laboratory (TRL 4) was used to determine the step lengths of the subjects walking on the axillary supports, and they were given instructions on how to adjust the step length via a display.…”

Section: State-of-the-artmentioning

confidence: 99%

Robot-Assisted Gait Self-Training: Assessing the Level Achieved

Scheidig

Schütz

Trinh

et al. 2021

Sensors

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This paper presents the technological status of robot-assisted gait self-training under real clinical environment conditions. A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing this, immediate feedback to the patient about deviations from the expected physiological gait pattern during training is important. Hence, the Socially Assistive Robot (SAR) developed for this type of training employs task-specific, user-centered navigation and autonomous, real-time gait feature classification techniques to enrich the self-training through companionship and timely corrective feedback. The evaluation of the system took place during user tests in a hospital from the point of view of technical benchmarking, considering the therapists’ and patients’ point of view with regard to training motivation and from the point of view of initial findings on medical efficacy as a prerequisite from an economic perspective. In this paper, the following research questions were primarily considered: Does the level of technology achieved enable autonomous use in everyday clinical practice? Has the gait pattern of patients who used additional robot-assisted gait self-training for several days been changed or improved compared to patients without this training? How does the use of a SAR-based self-training robot affect the motivation of the patients?

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Section: State-of-the-artmentioning

confidence: 99%

Robot-Assisted Gait Self-Training: Assessing the Level Achieved

Scheidig

Schütz

Trinh

et al. 2021

Sensors

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“…The textual cues are about the walking stride: whether it is short, long or correct. This improves the walking performance because it acts like a memory recall about the task (walking correctly) [7]. In our system, we also decided to include textual cues for the user to know how to walk with crutches and to persuade the user towards changing his behavior.…”

Section: Interactive Systems For Gait Training and Walking Rehabilita...mentioning

confidence: 99%

Digitally Augmenting the Physical Ground Space with Timed Visual Cues for Crutch-Assisted Walking

Peres

Campos

Azadegan

2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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This late-breaking work presents initial results regarding a novel mobile-projection system, aimed at helping people to learn how to walk with crutches. The existing projection-based solutions for gait training disorders are based on walking over a fixed surface (usually a treadmill). In contrast, our solution projects visual cues (footprints and crutch icons) directly into the floor, augmenting the physical space surrounding the crutches, in a portable way. Walking with crutches is a learning skill that requires continuous repetition and constant attention to detail to make sure they are being used correctly, avoiding negative consequences, such as falls or injuries. We conducted expert consultation sessions, and we identified the main issues that patients face when walking with crutches. This

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“…In order to design digitally-augmented crutches, we used textual cues as well as visual cues. Through the application of textual cues within the design of the crutches, users experience memory retrieval which improves their walking performance [2]. Visual cues play an important role in helping patients, as they are self explanatory and facilitate users when remembering their interactions through the use of visual working memory (VWM).…”

Section: Background and Related Workmentioning

confidence: 99%

“…Task guidance is one approach: computers can help users perform better when they use crutches, by showing them how they are performing by visually projecting what the user is doing and receiving guidance about what to do better and which aspects should be improved. For instance, Tsuda et al [2] created a robot that provides textual cues based on information such as body acceleration. The textual cues are about the walking stride: whether it is short, long or correct.…”

Section: Persuasive Systems For Rehabilitationmentioning

confidence: 99%

“…The textual cues are about the walking stride: whether it is short, long or correct. This improves the walking performance Aida.Azadegan@gmail.com because it acts like a memory recall about the task (walking correctly) [2]. In our system, we also decided to include textual cues for the user to know how to walk with crutches and persuade the user towards changing his behavior.…”

Section: Persuasive Systems For Rehabilitationmentioning

confidence: 99%

See 1 more Smart Citation

A Digitally-Augmented Ground Space with Timed Visual Cues for Facilitating Forearm Crutches’ Mobility

Peres

Campos

Azadegan

2019

Lecture Notes in Computer Science

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Persuasive technologies for physical rehabilitation have been proposed in a number of different health interventions such as post-stroke gait rehabilitation. We propose a new persuasive system, called Augmented Crutches, aimed at helping people to walk with crutches. People with injuries, or with any sort of mobility problem typically use assistive devices such as crutches, walkers or canes in order to be able to walk more independently. However, walking with crutches is a learning skill that needs continuous repetition and constant attention to detail in order to walk correctly with them and without suffering negative consequences, such as falls or injuries. In close collaboration with therapists, we identify the main issues that patients face when walking with crutches. These vary from person to person, but the most common and hardest challenges are the position and coordination of the crutches. Augmented Crutches studies human behavior aspects in these situations and augments the ground space around the user with digital visual cues where timing is the most important factor, without the need for a constant therapist providing manual help. This is performed through a mini-projector connected to a smartphone, worn by the user in a portable, lightweight manner. Our system helps people to learn how to walk using crutches with increased self-confidence and motivation. Additionally, our work identifies timing, controllability and awareness as the key design dimensions for the successful creation of persuasive, interactive experiences for learning how to walk with crutches.

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Attending and Observing Robot for Crutch Users

Cited by 6 publications

References 3 publications

Robot-Assisted Gait Self-Training: Assessing the Level Achieved

Robot-Assisted Gait Self-Training: Assessing the Level Achieved

Digitally Augmenting the Physical Ground Space with Timed Visual Cues for Crutch-Assisted Walking

A Digitally-Augmented Ground Space with Timed Visual Cues for Facilitating Forearm Crutches’ Mobility

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