The Exo4Work shoulder exoskeleton effectively reduces muscle and joint loading during simulated occupational tasks above shoulder height

Model-Based Biomechanical Exoskeleton Concept Optimization for a Representative Lifting Task in Logistics

“…In active exoskeletons, motors could potentially constitute the ideal non-monotonic torque curve. However, passive shoulder exoskeletons show mostly monotonic torque curves that can be described by a polynomial of degree two (e.g., [ 53 , 54 , 55 , 56 ]). To allow for an easier mechanical implementation in the future, an approximation of the target torque curve in the form of a polynomial of degree two ( ; x: angle in °, y: torque in Nm) was conducted and used for all simulations in order to ensure good comparability between concepts.…”

Twitter Big Data as A Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions

“…So, to determine the input for this query field, the previous works [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] in the field of exoskeleton technology were studied to determine the most common phrases or set of keywords that are used to refer to the underlining exoskeleton systems. A list of phrases and keywords can be found from these works which include -"Exoskeleton-Type Systems", "Upper-Limb Exoskeleton", "Indego Explorer Lower-Limb Exoskeleton", "Rehabilitation Exoskeleton," "Powered Knee Exoskeleton", "Exo4Work Shoulder Exoskeleton,", "Wearable Elbow Exoskeleton", "Powered Ankle Exoskeleton", "Wearable Waist Exoskeleton", "Powered Hip Exoskeleton", "Neck Supporting Exoskeleton", "Elastic Spine Exoskeleton", "Wrist Exoskeleton", "Robotic Exoskeleton", "Finger Exoskeleton", and "Lower Limb Exoskeleton".…”

Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions

“…So, to determine the input for this query field, the previous works [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] in the field of exoskeleton technology were studied to determine the most common phrases or set of keywords that are used to refer to the underlining exoskeleton systems. A list of phrases and keywords can be found in these works, which include -"Exoskeleton-Type Systems", "Upper-Limb Exoskeleton", "Indego Explorer Lower-Limb Exoskeleton", "Rehabilitation Exoskeleton," "Powered Knee Exoskeleton", "Exo4Work Shoulder Exoskeleton,", "Wearable Elbow Exoskeleton", "Powered Ankle Exoskeleton", "Wearable Waist Exoskeleton", "Powered Hip Exoskeleton", "Neck Supporting Exoskeleton", "Elastic Spine Exoskeleton", "Wrist Exoskeleton", "Robotic Exoskeleton", "Finger Exoskeleton", and "Lower Limb Exoskeleton".…”

“…In the last few years, exoskeletons have been developed for specific body parts or joints. These include exoskeletons for the knee [5], shoulder [6], elbow [7], ankle [8], waist [9], hip [10], neck [11], spine [12], wrist [13], and index finger [14]. The exoskeleton technology has been rapidly advancing [15] in the recent past on account of its multitude of applications and use cases.…”

“…In view of the rapid advances in exoskeleton research in the recent past [15], its applicability for a wide range of use cases for diverse users with diverse needs [3][4][5][6][7][8][9][10][11][12][13][14], projected increase of the booming exoskeleton market to become USD 1.3 billion by the end of 2024 [20], and limitations in prior works in this field [3][4][5][6][7][8][9][10][11][12][13][14] that did not focus on mining social media conversations about exoskeletons which could have served as an information resource for studying user interest, views, opinions, perspectives, attitudes, acceptance, and feedback towards exoskeletons, it is crucial to develop a dataset of conversations related to exoskeletons. The work presented in this paper aims to address this research challenge by exploring the intersections of Big Data, Data Mining, Natural Language Processing, Information Retrieval, Internet of Everything, and their interrelated disciplines.…”